Optimal Feature Selection for Data Classification and Clustering: Techniques and Guidelines

Subject Areas : International Journal of Information, Security and Systems Management

Farhad Rad ¹ , Ali Asghar Nadri ² , Hamid Parvin ³

1 - yasooj branch, islamic azad university
2 - yasooj branch, islamic azad university
3 - yasooj branch, islamic azad university

Received: 2017-06-20 Accepted : 2017-06-20 Published : 2016-06-01

Keywords: Clustering, Classification, Evaluation Criteria, Feature selection, categorizing framework,

Abstract :

In this paper, principles and existing feature selection methods for classifying and clustering data be introduced. To that end, categorizing frameworks for finding selected subsets, namely, search-based and non-search based procedures as well as evaluation criteria and data mining tasks are discussed. In the following, a platform is developed as an intermediate step toward developing an intelligent feature selection system, involving crucial, decisive and effective factors in feature selection process. The procedure increases accuracy in classification and goodness of clusters. Finally, some of the problems and challenges facing the current and future feature selection processing are also discussed.