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Constrained class-wise feature selection (CCFS)
Syed Fawad Hussain
*
, Fatima Shahzadi
, Badre Munir
*
Corresponding author for this work
Computer Science
Dubai Campus Research
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Keyphrases
Feature Selection
100%
Class-wise
100%
Selected Features
75%
Information Theory
50%
Constrained Search
50%
Minimum Redundancy
50%
Training Data
25%
Machine Learning
25%
Benchmark Dataset
25%
Mutual Information
25%
Accuracy Improvement
25%
Low Computational Complexity
25%
Reduced Time
25%
Feature Selection Methods
25%
Preprocessing Techniques
25%
High-dimensional Data
25%
Information Content
25%
Art Features
25%
Curse of Dimensionality
25%
Reducing Subspace
25%
Maximum Relevance
25%
Sequential Forward Search
25%
Matching Score
25%
Fair Representation
25%
Computer Science
Feature Extraction
100%
Feature Selection
100%
Time Complexity
50%
Information Theory
50%
Minimum Redundancy
50%
Training Data
25%
Mutual Information
25%
Machine Learning
25%
Learning System
25%
Sequential Forward
25%
High Dimensional Data
25%
Space Complexity
25%
Information Content
25%
Preprocessing Step
25%
Forward Search
25%
Matching Score
25%