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Study of clustering validity based on fuzzy similarity
2000
A clustering validation method based on fuzzy similarity is presented, which is characterized by its distinct concept, low computing cost, and good robustness. Finally, two experiments have been carried out with satisfactory results.
Keywords:
- Fuzzy clustering
- k-medians clustering
- Correlation clustering
- Cluster analysis
- FLAME clustering
- Machine learning
- Fuzzy set operations
- Canopy clustering algorithm
- Mathematics
- Artificial intelligence
- Pattern recognition
- CURE data clustering algorithm
- Computer science
- Consensus clustering
- Data mining
- Fuzzy classification
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