Subspace Clustering of High Dimensional Data.
Carlotta DomeniconiDimitris PapadopoulosDimitrios GunopulosSheng MaPublished in: SDM (2004)
Keyphrases
- subspace clustering
- low dimensional
- principal component analysis
- principal components analysis
- multiscale
- feature space
- high dimensional data
- clustering high dimensional data
- feature extraction
- linear subspace
- dimensionality reduction
- subspace learning
- principal components
- manifold learning
- input data
- subspace clusters
- lower dimensional
- real time
- feature vectors
- information retrieval
- machine learning
- neural network