Talk:Dimensionality reduction

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K-NN[edit]

Why is there so much emphasis on using K-NN after PCA? — Preceding unsigned comment added by 86.21.183.193 (talk) 06:14, 31 March 2015 (UTC)

Untitled[edit]

This article was listed on Wikipedia:Votes for deletion, and the consensus was keep: see Wikipedia:Votes for deletion/Dimensionality reduction

Article is biased, update required[edit]

Please have a look at JMLR Special Issue on Variable and Feature Selection. JKW 09:18, 23 April 2006 (UTC)

Dimension Reduction, not Dimensionality Reduction[edit]

Why is this called Dimensionality Reduction? It should be called Dimension Reduction. Calling it "Dimensionality Reduction" is like overconjucationalizifying a word. — Preceding unsigned comment added by 2620:0:1000:1502:26BE:5FF:FE1D:BCA1 (talk) 17:34, 11 July 2013 (UTC)

Dimensional Reduction or Reducing Dimensions[edit]

Dimensional is an adjective modifying the noun "reduction". "Dimension" and "dimensionality" are both nouns. Similarly, one says "blue truck", where "blue" is the adjective modifying the noun "truck." "Blueness" is a noun-ified form of the word, which we could use as "reducing the blueness of the truck". Saying "blueness truck" sounds wrong at best. — Preceding unsigned comment added by 2601:545:C102:A56A:79B7:6583:CB24:A50F (talk) 19:24, 30 March 2018 (UTC)

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Nearest Shrunken Centroids[edit]

Nearest Shrunken Centroids ((Tibshirani et. al 2002), not just Nearest centroid classifier) have been successfully used when dimensionality is high and training examples are low.

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