A fuzzy c-means-type algorithm for clustering of data with mixed numeric and categorical attributes employing a probabilistic dissimilarity functional.
Sotirios P. ChatzisPublished in: Expert Syst. Appl. (2011)
Keyphrases
- k means
- fuzzy c means
- cluster centers
- clustering method
- categorical attributes
- fcm algorithm
- clustering algorithm
- input data
- fuzzy clustering algorithm
- fuzzy clustering
- data sets
- data points
- information loss
- categorical data
- data analysis
- cluster analysis
- learning algorithm
- original data
- fuzzy clustering algorithms
- data quality
- training data
- continuous attributes
- high dimensional data
- data mining techniques
- probabilistic model
- dissimilarity measure
- feature space
- objective function
- gustafson kessel
- data mining
- numerical and categorical attributes
- membership functions
- validity index
- numerical data
- particle swarm optimization
- nearest neighbor
- similarity measure
- neural network