An Entropy-Based Subspace Clustering Algorithm for Categorical Data.
Joel Luis CarboneraMara AbelPublished in: ICTAI (2014)
Keyphrases
- categorical data
- clustering algorithm
- cluster analysis
- subspace clustering
- categorical values
- density based clustering
- hierarchical clustering algorithm
- clustering method
- parameter free
- numerical data
- k means
- numeric data
- data clustering
- subspace clusters
- factor analysis
- distance based outlier detection
- high dimensional
- principal component analysis
- hierarchical clustering
- unsupervised learning
- data mining
- numerical attributes
- feature space
- hierarchical latent class models
- spectral clustering
- multivariate time series
- dimensionality reduction
- pairwise
- object recognition
- feature extraction