Entropy Weighting K-Means for high-dimensional data analysis

• Main Author: Leonel Rahman.
• Other Authors: Chen Lihui
• Format: Final Year Project
• Language: English
• Published: 2010
• Subjects: DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
• Online Access: http://hdl.handle.net/10356/39388
• Institution: Nanyang Technological University

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...