FeatureSelection Files

Feature selection methods including correlation feature selection.

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Name	Modified	Size	InfoDownloads / Week
Parent folder
README	2012-06-30	350 Bytes	0
CfsSubset.java	2012-06-30	8.0 kB	0
CorrelationSubset.java	2012-06-30	5.1 kB	0
NonemptySubset.java	2012-06-30	2.9 kB	0
FeatureSelection.java	2012-06-30	2.4 kB	0
Totals: 5 Items		18.8 kB	0

The use of CfsSubset should be straightforward. However, in case of too many 
features (over 3000-5000), it may become slow even if it is well optimized. 
In that case the more basic selection algorithms should be used to reduce 
number of features. The NonemptySubset algorithm is used to clean up features 
with a single value for all records.

Source: README, updated 2012-06-30

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FeatureSelection Files

Feature selection methods including correlation feature selection.

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