Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6901307 | Procedia Computer Science | 2017 | 8 Pages |
Abstract
We present subspace clustering method based on entropy and modification of Gustafson-Kessel clustering. The proposed method associates with each cluster its center, variance co-variance matrix and a weight matrix. It represents clusters and their features through gradation in membership, and hence reflects a realistic representation of clusters. Evaluation of experiments on data from UCI ae well as text with the comparative methods shows better results of proposed method.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Charu Puri, Naveen Kumar,