Distance based k-means clustering algorithm for determining number of clusters for high dimensional data
Clustering is one of the most common unsupervised data mining classification techniques for splitting objects into a set of meaningful groups. However, the traditional k-means algorithm is not applicable to retrieve useful information / clusters, particularly when there is an overwhelming growth of...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Growing Science
2020-01-01
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| Series: | Decision Science Letters |
| Subjects: | |
| Online Access: | http://www.growingscience.com/dsl/Vol9/dsl_2019_21.pdf |