An Optimized K-Harmonic Means Algorithm Combined with Modified Particle Swarm Optimization and Cuckoo Search Algorithm
Among the data clustering algorithms, k-means (KM) algorithm is one of the most popular clustering techniques due to its simplicity and efficiency. However, k-means is sensitive to initial centers and it has the local optima problem. K-harmonic-means (KHM) clustering algorithm solves the initializat...
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Format: | Article |
Language: | English |
Published: |
Sciendo
2016-06-01
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Series: | Foundations of Computing and Decision Sciences |
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Online Access: | https://doi.org/10.1515/fcds-2016-0006 |