How to Use t-SNE Effectively
A popular method for exploring high-dimensional data is something called t-SNE, introduced by van der Maaten and Hinton in 2008 [1]. The technique has become widespread in the field of machine learning, since it has an almost magical ability to create compelling two-dimensonal “maps” from data with hundreds or even thousands of dimensions. Although impressive, these images can be tempting to misre
jonker-volgenant algorithm + t-sne = super powers
jonker-volgenant algorithm + t-sne = super powers By DevRel team / 14 March 2017 BEFOREAFTERIntrigued? Then… first things first! t-snet-SNE is the very popular algorithm to extremely reduce the dimensionality of your data in order to visually present it. It is capable of mapping hundreds of dimensions to just 2 while preserving important data relationships, that is, when closer samples in the orig
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Using T-SNE to Visualise how your Deep Model thinks
(t-SNE, DBSCAN, Decision Tree)で、(可視化 > クラスタリング > 特徴説明)を行う - Qiita
