文章基本信息

标题：Vinayaka : A Semi-Supervised Projected Clustering Method Using Differential Evolution
本地全文：下载
作者：Satish Gajawada ; Durga Toshniwal
期刊名称：International Journal of Software Engineering & Applications (IJSEA)
印刷版ISSN：0976-2221
电子版ISSN：0975-9018
出版年度：2012
卷号：3
期号：4
页码：77
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Differential Evolution (DE) is an algorithm for evolutionary optimization. Clustering problems have beensolved by using DE based clustering methods but these methods may fail to find clusters hidden insubspaces of high dimensional datasets. Subspace and projected clustering methods have been proposed inliterature to find subspace clusters that are present in subspaces of dataset. In this paper we proposeVINAYAKA, a semi-supervised projected clustering method based on DE. In this method DE optimizes ahybrid cluster validation index. Subspace Clustering Quality Estimate index (SCQE index) is used forinternal cluster validation and Gini index gain is used for external cluster validation in the proposed hybridcluster validation index. Proposed method is applied on Wisconsin breast cancer dataset.
关键词：Semi-supervised Clustering; Projected Clustering; Differential Evolution; Hybrid Cluster Validation;Method