" Overall, for big data LSI in Gensim might be a good first choice. It’s online and reasonably fast. For even bigger data, probably LDA in VW. Vowpal Wabbit has built-in super-fast LDA, which is interesting. "

yass のブックマーク 2013/03/29 16:16

<blockquote class="hatena-bookmark-comment"><a class="comment-info" href="https://b.hatena.ne.jp/entry/138536378/comment/yass" data-user-id="yass" data-entry-url="https://b.hatena.ne.jp/entry/fastml.com/dimensionality-reduction-for-sparse-binary-data-an-overview/" data-original-href="http://fastml.com/dimensionality-reduction-for-sparse-binary-data-an-overview/" data-entry-favicon="https://cdn-ak2.favicon.st-hatena.com/64?url=http%3A%2F%2Ffastml.com%2Fdimensionality-reduction-for-sparse-binary-data-an-overview%2F" data-user-icon="/users/yass/profile.png">Dimensionality reduction for sparse binary data - an overview - FastML</a><ul class="comment-tag" style="list-style: none; margin: 0px;"><li style="float: left">[<a href="https://b.hatena.ne.jp/q/machinelearning">machinelearning</a>]</li><li style="float: left">[<a href="https://b.hatena.ne.jp/q/dimension">dimension</a>]</li><li style="float: left">[<a href="https://b.hatena.ne.jp/q/LDA">LDA</a>]</li><li style="float: left">[<a href="https://b.hatena.ne.jp/q/TF-IDF">TF-IDF</a>]</li><li style="float: left">[<a href="https://b.hatena.ne.jp/q/ICA">ICA</a>]</li></ul><br><p style="clear: left">&quot; Overall, for big data LSI in Gensim might be a good first choice. It’s online and reasonably fast. For even bigger data, probably LDA in VW. Vowpal Wabbit has built-in super-fast LDA, which is interesting. &quot;</p><a class="datetime" href="https://b.hatena.ne.jp/yass/20130329#bookmark-138536378"><span class="datetime-body">2013/03/29 16:16</span></a></blockquote><script src="https://b.st-hatena.com/js/comment-widget.js" charset="utf-8" async></script>

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