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Chernoff distance and Relief feature selection
Jing Peng
, Guna Seetharaman
Computer Science
Research output
:
Contribution to conference
›
Paper
›
peer-review
3
Scopus citations
Overview
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Dive into the research topics of 'Chernoff distance and Relief feature selection'. Together they form a unique fingerprint.
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Keyphrases
Dimensionality Reduction
100%
Distance Features
100%
Relief Feature Selection
100%
Number of Features
100%
Chernoff Distance
100%
Feature Dimension
50%
Multi-class
50%
Popular
50%
Linear Discriminant Analysis
50%
Fisher Linear Discriminant Analysis
50%
Situation Features
50%
Feature Selection
50%
Multi-class Problem
50%
Separate Class
50%
Linear Reduction
50%
Classification Task
50%
Two-class Problems
50%
Class Means
50%
Binary Problems
50%
Computer Science
Dimensionality Reduction
100%
Linear Discriminant Analysis
100%
Feature Selection
100%
Feature Extraction
100%
Experimental Result
50%
Multiclass Problem
50%
Multiclass Case
50%
Classification Task
50%