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    <title>The Pudding</title>
    <dc:date>2023-11-03T03:34:03+00:00</dc:date>
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    <dc:creator>amy</dc:creator><dc:subject>visualization</dc:subject>
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    <title>lmcinnes/umap: Uniform Manifold Approximation and Projection</title>
    <dc:date>2022-03-29T17:55:10+00:00</dc:date>
    <link>https://github.com/lmcinnes/umap</link>
    <dc:creator>amy</dc:creator><description><![CDATA[Uniform Manifold Approximation and Projection (UMAP) is a dimension reduction technique that can be used for visualisation similarly to t-SNE, but also for general non-linear dimension reduction. The algorithm is founded on three assumptions about the data:

The data is uniformly distributed on a Riemannian manifold;
The Riemannian metric is locally constant (or can be approximated as such);
The manifold is locally connected.
From these assumptions it is possible to model the manifold with a fuzzy topological structure. The embedding is found by searching for a low dimensional projection of the data that has the closest possible equivalent fuzzy topological structure.

The details for the underlying mathematics can be found in our paper on ArXiv:

McInnes, L, Healy, J, UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction, ArXiv e-prints 1802.03426, 2018

The important thing is that you don't need to worry about that—you can use UMAP right now for dimension reduction and visualisation as easily as a drop in replacement for scikit-learn's t-SNE.

Documentation is available via Read the Docs.

New: this package now also provides support for densMAP. The densMAP algorithm augments UMAP to preserve local density information in addition to the topological structure of the data. Details of this method are described in the following paper:

Narayan, A, Berger, B, Cho, H, Density-Preserving Data Visualization Unveils Dynamic Patterns of Single-Cell Transcriptomic Variability, bioRxiv, 2020]]></description>
<dc:subject>visualization machine_learning embeddings</dc:subject>
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    <link>https://observablehq.com/@awoodruff/daylight-saving-time-gripe-assistant-tool</link>
    <dc:creator>amy</dc:creator><dc:subject>visualization dataviz amusements</dc:subject>
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    <title>world wind map</title>
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    <dc:creator>amy</dc:creator><dc:subject>weather visualization map earth data wind</dc:subject>
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<item rdf:about="https://www.esri.com/arcgis-blog/products/product/mapping/mapping-coronavirus-responsibly/">
    <title>Mapping coronavirus, responsibly</title>
    <dc:date>2020-02-29T01:33:23+00:00</dc:date>
    <link>https://www.esri.com/arcgis-blog/products/product/mapping/mapping-coronavirus-responsibly/</link>
    <dc:creator>amy</dc:creator><dc:subject>visualization maps epidemiology</dc:subject>
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<item rdf:about="https://informationisbeautiful.net/beautifulnews/">
    <title>Beautiful News</title>
    <dc:date>2019-12-01T19:22:13+00:00</dc:date>
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    <dc:creator>amy</dc:creator><dc:subject>news data design visualization</dc:subject>
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    <title>A High-Level Grammar of Interactive Graphics | Vega-Lite</title>
    <dc:date>2018-04-05T16:03:29+00:00</dc:date>
    <link>https://vega.github.io/vega-lite/</link>
    <dc:creator>amy</dc:creator><description><![CDATA[Vega-Lite is a high-level grammar of interactive graphics. It provides a concise JSON syntax for rapidly generating visualizations to support analysis. Vega-Lite specifications can be compiled to Vega specifications.]]></description>
<dc:subject>data_science visualization javascript</dc:subject>
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    <title>Altair: Declarative Visualization in Python — Altair 2.0.0rc1 documentation</title>
    <dc:date>2018-04-05T16:03:07+00:00</dc:date>
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    <dc:creator>amy</dc:creator><description><![CDATA[Altair is a declarative statistical visualization library for Python, based on Vega and Vega-Lite.

]]></description>
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    <title>Feature Visualization</title>
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    <link>https://distill.pub/2017/feature-visualization/</link>
    <dc:creator>amy</dc:creator><description><![CDATA[RT @ch402: What do neural nets see? You may be surprised. @zzznah @ludwigschubert & I explore.  ]]></description>
<dc:subject>machine_learning TensorFlow visualization</dc:subject>
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    <title>PAIR-code/facets: Visualizations for machine learning datasets</title>
    <dc:date>2017-08-11T20:20:50+00:00</dc:date>
    <link>https://github.com/pair-code/facets</link>
    <dc:creator>amy</dc:creator><description><![CDATA[Visualizations for machine learning datasets https://pair-code.github.io/facets/
]]></description>
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    <title>Facets - Visualizations for ML datasets</title>
    <dc:date>2017-08-11T20:05:37+00:00</dc:date>
    <link>https://pair-code.github.io/facets/</link>
    <dc:creator>amy</dc:creator><dc:subject>visualization machine_learning bigdata big_data</dc:subject>
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<item rdf:about="https://github.com/raghakot/keras-vis">
    <title>raghakot/keras-vis: Neural network visualization toolkit for keras</title>
    <dc:date>2017-07-11T19:53:44+00:00</dc:date>
    <link>https://github.com/raghakot/keras-vis</link>
    <dc:creator>amy</dc:creator><description><![CDATA[Neural network visualization toolkit for keras https://raghakot.github.io/keras-vis
]]></description>
<dc:subject>visualization keras machine_learning TensorFlow</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
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<item rdf:about="http://colah.github.io/posts/2015-01-Visualizing-Representations/">
    <title>Visualizing Representations: Deep Learning and Human Beings - colah's blog</title>
    <dc:date>2017-05-08T22:31:39+00:00</dc:date>
    <link>http://colah.github.io/posts/2015-01-Visualizing-Representations/</link>
    <dc:creator>amy</dc:creator><dc:subject>machine_learning visualization</dc:subject>
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<item rdf:about="https://exploratory.io/">
    <title>Exploratory</title>
    <dc:date>2016-11-17T22:36:55+00:00</dc:date>
    <link>https://exploratory.io/</link>
    <dc:creator>amy</dc:creator><description><![CDATA[Extract from variety of data sources
You can quickly extract data from various data sources such as Amazon Redshift, Google BigQuery, PostgreSQL, MySQL, MongoDB, Presto, Google Analytics, Google Spreadsheet, Twitter, Web Page Scraping, CSV, Excel, JSON, Statistical files, R script, and much more. ]]></description>
<dc:subject>analysis visualization bigdata</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
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    <title>Coffee Flavour Wheel</title>
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    <dc:creator>amy</dc:creator><description><![CDATA[Code examples for the introductory d3.js workshop, "From Scattered to Scatterplot"
]]></description>
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<item rdf:about="http://d3js.org/">
    <title>D3.js - Data-Driven Documents</title>
    <dc:date>2013-12-22T03:20:13+00:00</dc:date>
    <link>http://d3js.org/</link>
    <dc:creator>amy</dc:creator><description><![CDATA[D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG and CSS. D3’s emphasis on web standards gives you the full capabilities of modern browsers without tying yourself to a proprietary framework, combining powerful visualization components and a data-driven approach to DOM manipulation.]]></description>
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<dc:source>https://pinboard.in/</dc:source>
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<item rdf:about="http://worldmap.harvard.edu/tweetmap/">
    <title>TweetMap ALPHA</title>
    <dc:date>2013-09-07T23:16:43+00:00</dc:date>
    <link>http://worldmap.harvard.edu/tweetmap/</link>
    <dc:creator>amy</dc:creator><description><![CDATA[TweetMap is an instance of MapD, a massively parallel database platform being developed through a collaboration between Todd Mostak, (currently a researcher at MIT), and the Harvard Center for Geographic Analysis (CGA). 

Learn more about MapD here - https://www.facebook.com/datarefined

The number of tweets could theoretically be increased to billions and we are working on real time streaming.

MapD is a general purpose SQL database that can be used to provide real-time visualization and analysis of just about any very large data set.  MapD makes use of commodity Graphic Processing Units (GPUs) to parallelize hard compute jobs such as that of querying and rendering very large data sets on-the-fly.]]></description>
<dc:subject>analysis data twitter visualization visualizations</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
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<item rdf:about="http://www.netmagazine.com/features/top-20-data-visualisation-tools">
    <title>The top 20 data visualisation tools | Feature | .net magazine</title>
    <dc:date>2012-11-17T21:43:48+00:00</dc:date>
    <link>http://www.netmagazine.com/features/top-20-data-visualisation-tools</link>
    <dc:creator>amy</dc:creator><dc:subject>software visualization libraries</dc:subject>
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<item rdf:about="http://www.vistrails.org/index.php/Main_Page">
    <title>VisTrailsWiki</title>
    <dc:date>2012-11-17T00:25:24+00:00</dc:date>
    <link>http://www.vistrails.org/index.php/Main_Page</link>
    <dc:creator>amy</dc:creator><dc:subject>python visualization</dc:subject>
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    <title>Graphical Bios. Stunning. Simple. | Vizify</title>
    <dc:date>2012-11-16T22:06:48+00:00</dc:date>
    <link>https://www.vizify.com/</link>
    <dc:creator>amy</dc:creator><dc:subject>visualization</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:22873f646b3e/</dc:identifier>
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<item rdf:about="http://ccc.webdetails.org/">
    <title>About | ccc.webdetails.org</title>
    <dc:date>2011-10-19T20:03:27+00:00</dc:date>
    <link>http://ccc.webdetails.org/</link>
    <dc:creator>amy</dc:creator><description><![CDATA["Community Charting Components (CCC) is a charting library on top of Protovis, a very powerful free and open-source visualization toolkit.

The aim of CCC is to provide developers with a way to include into their dashboards the basic chart types without losing the main principle:  Extensibility."]]></description>
<dc:subject>visualization software</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:b4dd91bf924e/</dc:identifier>
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<item rdf:about="http://www.evogeneao.com/images/Evo_large.gif">
    <title>Evo_large.gif 2,420×915 pixels</title>
    <dc:date>2011-09-23T07:13:52+00:00</dc:date>
    <link>http://www.evogeneao.com/images/Evo_large.gif</link>
    <dc:creator>amy</dc:creator><dc:subject>evolution science visualization</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:fbd2b1348c8e/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:evolution"/>
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<item rdf:about="http://www.huffingtonpost.com/2011/06/01/white-house-garden-subsidized-crops_n_869616.html">
    <title>If The White House Garden Grew Subsidized Crops</title>
    <dc:date>2011-06-01T20:38:48+00:00</dc:date>
    <link>http://www.huffingtonpost.com/2011/06/01/white-house-garden-subsidized-crops_n_869616.html</link>
    <dc:creator>amy</dc:creator><description><![CDATA[Love it. If The White House Garden Grew Subsidized Crops  #visualization brings it home again! via @jamesoreilly]]></description>
<dc:subject>visualization</dc:subject>
<dc:source>https://twitter.com/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:7710ee0600a1/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:visualization"/>
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</item>
<item rdf:about="http://www.visualthesaurus.com/">
    <title>Thinkmap Visual Thesaurus - An online thesaurus and dictionary of over 145,000 words that you explore using an interactive map.</title>
    <dc:date>2011-05-28T00:58:59+00:00</dc:date>
    <link>http://www.visualthesaurus.com/</link>
    <dc:creator>amy</dc:creator><dc:subject>language reference visualization linguistics</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:514d86fdcac2/</dc:identifier>
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</item>
<item rdf:about="http://www.google.com/publicdata/home">
    <title>Google Public Data Explorer</title>
    <dc:date>2011-05-27T15:02:12+00:00</dc:date>
    <link>http://www.google.com/publicdata/home</link>
    <dc:creator>amy</dc:creator><dc:subject>#gov20 gov20 analytics data google statistics visualization datamining</dc:subject>
<dc:source>https://twitter.com/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:744869a5afe4/</dc:identifier>
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</item>
<item rdf:about="http://skysurvey.org/">
    <title>Photopic Sky Survey</title>
    <dc:date>2011-05-14T14:37:17+00:00</dc:date>
    <link>http://skysurvey.org/</link>
    <dc:creator>amy</dc:creator><dc:subject>astronomy photography science visualization</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:c85827b77938/</dc:identifier>
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<item rdf:about="http://mbostock.github.com/d3/">
    <title>d3.js</title>
    <dc:date>2011-03-12T14:48:43+00:00</dc:date>
    <link>http://mbostock.github.com/d3/</link>
    <dc:creator>amy</dc:creator><description><![CDATA["D3 allows you to bind arbitrary data to a Document Object Model (DOM), and then apply data-driven transformations to the document. As a trivial example, you can use D3 to generate a basic HTML table from an array of numbers. Or, use the same data to create an interactive SVG bar chart with smooth transitions and interaction.

D3 is not a traditional visualization framework. Rather than provide a monolithic system with all the features anyone may ever need, D3 solves only the crux of the problem: efficient manipulation of documents based on data. This gives D3 extraordinary flexibility, exposing the full capabilities of underlying technologies such as CSS3, HTML5 and SVG. It avoids learning a new intermediate proprietary representation. With minimal overhead, D3 is extremely fast, supporting large datasets and dynamic behaviors for interaction and animation. And, for those common needs, D3’s functional style allows code reuse through a diverse collection of optional modules...."]]></description>
<dc:subject>visualization html5 javascript frameworks</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:c36803bc2e36/</dc:identifier>
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<item rdf:about="http://www.koalastothemax.com/">
    <title>Koalas to the Max dot Com</title>
    <dc:date>2011-03-12T14:48:09+00:00</dc:date>
    <link>http://www.koalastothemax.com/</link>
    <dc:creator>amy</dc:creator><description><![CDATA[D3]]></description>
<dc:subject>visualization html5 javascript</dc:subject>
<dc:source>https://pinboard.in/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:e457683e1af3/</dc:identifier>
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</item>
<item rdf:about="http://jonathanstray.com/a-computational-journalism-reading-list">
    <title>Jonathan Stray » A computational journalism reading list</title>
    <dc:date>2011-02-01T19:51:14+00:00</dc:date>
    <link>http://jonathanstray.com/a-computational-journalism-reading-list</link>
    <dc:creator>amy</dc:creator><description><![CDATA[Another must  read, and more importantly must do list from @jonathanstray  #cujourn11]]></description>
<dc:subject>#cujourn11 cujourn11 journalism programming visualization data</dc:subject>
<dc:source>https://twitter.com/</dc:source>
<dc:identifier>https://pinboard.in/u:amy/b:dce91a0b89f2/</dc:identifier>
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<item rdf:about="http://www.visualizing.org/">
    <title>visualizing.org</title>
    <dc:date>2010-10-05T15:23:29+00:00</dc:date>
    <link>http://www.visualizing.org/</link>
    <dc:creator>amy</dc:creator><description><![CDATA[visualizing.org:  #visualization #dataviz #infoviz #infographics #infogfx #infodesign #graphicdesign]]></description>
<dc:subject>#infographics #infodesign #graphicdesign #infogfx #dataviz #infoviz #visualization infographics infodesign graphicdesign infogfx dataviz infoviz visualization</dc:subject>
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<item rdf:about="http://www.datapointed.net/">
    <title>Data Pointed</title>
    <dc:date>2010-09-02T21:13:00+00:00</dc:date>
    <link>http://www.datapointed.net/</link>
    <dc:creator>amy</dc:creator><dc:subject>datamining analytics visualization</dc:subject>
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<dc:identifier>https://pinboard.in/u:amy/b:f11ac049874a/</dc:identifier>
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<item rdf:about="http://everytimezone.com/">
    <title>Time Zones</title>
    <dc:date>2010-04-14T18:50:03+00:00</dc:date>
    <link>http://everytimezone.com/</link>
    <dc:creator>amy</dc:creator><dc:subject>ajax css web_app visualization</dc:subject>
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