PARTCAT: A Subspace Clustering Algorithm for High Dimensional Categorical Data.
Guojun GanJianhong WuZijiang YangPublished in: IJCNN (2006)
Keyphrases
- categorical data
- high dimensional
- clustering algorithm
- cluster analysis
- low dimensional
- subspace clustering
- categorical values
- high dimensional data
- density based clustering
- dimensionality reduction
- hierarchical clustering algorithm
- parameter free
- numerical data
- lower dimensional
- k means
- feature space
- clustering method
- numeric data
- high dimensionality
- subspace clusters
- dimension reduction
- variable selection
- manifold learning
- categorical attributes
- correspondence analysis
- hierarchical latent class models
- nearest neighbor
- data points
- data analysis
- continuous data
- factor analysis
- parameter space
- spectral clustering
- attribute values
- data mining techniques
- distance based outlier detection
- machine learning
- linear discriminant analysis
- numerical attributes