Genetic Algorithm with an Improved Initial Population Technique for Automatic Clustering of Low-Dimensional Data
K-means clustering is an important and popular technique in data mining. Unfortunately, for any given dataset (not knowledge-base), it is very difficult for a user to estimate the proper number of clusters in advance, and it also has the tendency of trapping in local optimum when the initial seeds a...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2018-04-01
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| Series: | Information |
| Subjects: | |
| Online Access: | http://www.mdpi.com/2078-2489/9/4/101 |