Clustering Algorithm with Learnable Distance for Categorical Data with Nominal and Ordinal Attributes.
Hong JiaWeiwei ZhongPublished in: DSIT (2022)
Keyphrases
- categorical data
- nominal attributes
- numerical attributes
- attribute values
- cluster analysis
- clustering algorithm
- numerical data
- categorical values
- categorical attributes
- density based clustering
- numeric data
- parameter free
- hierarchical clustering algorithm
- k means
- numeric attributes
- clustering method
- unsupervised learning
- euclidean distance
- correspondence analysis
- hierarchical latent class models
- data analysis
- data mining
- continuous attributes
- hierarchical clustering
- recommender systems
- bayesian networks
- data sets