Feature Weighting in k-Means Clustering.
Data sets with multiple, heterogeneous feature spaces occur frequently. We present an abstract framework for integrating multiple feature spaces in the k-means clustering algorithm. Our main ideas are (i) to represent each data object as a tuple of multiple feature vectors, (ii) to assign a suitable...
| প্রকাশিত: | Machine learning. 52, 3 (2003). |
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| প্রধান লেখক: | |
| বিন্যাস: | প্রবন্ধ |
| ভাষা: | English |
| বিষয়গুলি: |