Feature Selection Based On Ant Colony

  Kritika,  Ritika Mehra

Feature selection involves identifying a subset of the most useful features that produces compatible results as the original entire set of features. A feature selection algorithm may be evaluated from both the efficiency and effectiveness points of view. While the efficiency concerns the time required to find a subset of features, the effectiveness is related to the quality of the subset of features. Based on these criteria, a clustering-based feature selection algorithm is proposed and experimentally evaluated in their work. Features are divided into clusters by using graph-theoretic clustering methods Most representative feature that is strongly related to target classes is selected from each cluster to form a subset of features.

Keywords- CFS,SVM, RFE ,RMR

Unique Identification Number - IJEDR1804086
Page Number(s) - 477-482
Pubished in - Volume 6 | Issue 4 | December 2018
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Kritika,  Ritika Mehra,   "Feature Selection Based On Ant Colony", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.6, Issue 4, pp.477-482, December 2018, Available at :http://www.ijedr.org/papers/IJEDR1804086.pdf