An effective dissimilarity measure for clustering of high-dimensional categorical data.
Jeong-Hoon LeeYoon-Joon LeePublished in: Knowl. Inf. Syst. (2014)
Keyphrases
- categorical data
- dissimilarity measure
- cluster analysis
- high dimensional
- clustering method
- parameter free
- numerical data
- feature space
- numeric data
- similarity measure
- attribute values
- density based clustering
- categorical attributes
- low dimensional
- dissimilarity representation
- clustering algorithm
- nearest neighbor
- data points
- active learning
- distance metric
- k means
- computer vision
- correspondence analysis
- real world
- numerical attributes
- pattern matching
- multidimensional scaling
- edit distance
- data sets
- pattern recognition
- machine learning
- neural network