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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| Format: | Final Year Project (FYP) |
| Language: | English |
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2010
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| Online Access: | http://hdl.handle.net/10356/39388 |