Feature Subset Selection Algorithm for High-Dimensional Data by using FAST Clustering Approach

  • Published 2017

Abstract

Feature selection involves the process of identifying the most useful feature's subset which produces compatible results similar to original set of feature. Efficiency and effectiveness are the two measures to evaluate feature selection algorithm. The time to find the cluster concerns to efficiency, while effectiveness is concerned to quality of subset… (More)

Topics

Cite this paper

@inproceedings{2017FeatureSS, title={Feature Subset Selection Algorithm for High-Dimensional Data by using FAST Clustering Approach}, author={}, year={2017} }