Entropy Weighting K-Means for high-dimensional data analysis

Entropy Weighting K-Means (EWKM) clustering is a new k-means type algorithm for clustering high-dimensional objects in subspaces. In high dimensional data, clustering process to calculate a weight for each dimension in each cluster and use the weight values to identify the subsets of important dimen...

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Bibliographic Details
Main Author: Leonel Rahman.
Other Authors: Chen Lihui
Format: Final Year Project
Language:English
Published: 2010
Subjects:
Online Access:http://hdl.handle.net/10356/39388
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Institution: Nanyang Technological University
Language: English