- Category:
- matlab
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- File Size:
- 1kb
- Update:
- 2018-04-17
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- invoker`Z
Description: k-means clustering is a method of vector quantization, originally from signal processing, that is popular for cluster analysis in data mining. k-means clustering aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. This results in a partitioning of the data space into Voronoi cells.
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| Filename | Size | Date |
|---|
| K-means\KMeans.m | 1648 | 2018-04-15
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| K-means\main.m | 1020 | 2018-04-15
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| K-means | 0 | 2018-04-17 |
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