A fuzzy k-prototype clustering algorithm for mixed numeric and categorical data.
Jinchao JiWei PangChunguang ZhouXiao HanZhe WangPublished in: Knowl. Based Syst. (2012)
Keyphrases
- categorical data
- categorical values
- numeric data
- cluster analysis
- clustering algorithm
- numeric values
- numerical data
- fuzzy clustering
- parameter free
- clustering analysis
- fuzzy sets
- density based clustering
- membership functions
- symbolic data
- exploratory analysis
- k means
- categorical attributes
- attribute values
- hierarchical clustering algorithm
- fuzzy logic
- correspondence analysis
- database
- distance based outlier detection
- possibilistic c means
- fuzzy c means
- fuzzy rules
- clustering method
- data analysis
- numerical attributes
- active learning
- reinforcement learning
- feature selection
- computer vision
- real world
- databases