A statistics-based approach to control the quality of subclusters in incremental gravitational clustering.
Chien-Yu ChenShien-Ching HwangYen-Jen OyangPublished in: Pattern Recognit. (2005)
Keyphrases
- incremental clustering
- clustering algorithm
- high quality
- clustering method
- spectral clustering
- inter cluster
- process control
- quality measures
- data clustering
- k means
- control system
- self organizing maps
- control theory
- unsupervised learning
- higher quality
- control method
- optimal control
- data mining
- categorical data
- hierarchical clustering
- real time
- information theoretic
- text mining
- robotic systems
- low quality
- control strategy
- arbitrary shape
- cluster analysis
- anomaly detection