Biclustering multivariate data for correlated subspace mining.
Kazuho WatanabeHsiang-Yun WuYusuke NiibeShigeo TakahashiIssei FujishiroPublished in: PacificVis (2015)
Keyphrases
- multivariate data
- high dimensional
- principal components
- subspace clusters
- low dimensional
- visualization methods
- principal component analysis
- microarray data
- dimensionality reduction
- categorical data
- subspace clustering
- parameter space
- knowledge discovery
- data points
- data mining
- gene expression data
- high dimensional data
- original data
- face recognition
- frequent patterns
- data mining techniques
- search space
- feature space
- website