FINDIT: a fast and intelligent subspace clustering algorithm using dimension voting.
Kyoung-Gu WooJeong-Hoon LeeMyoung-Ho KimYoon-Joon LeePublished in: Inf. Softw. Technol. (2004)
Keyphrases
- clustering algorithm
- subspace clustering
- clustering method
- k means
- low dimensional
- subspace clusters
- fuzzy c means
- high dimensional
- spectral clustering
- dimensionality reduction
- data clustering
- document clustering
- voting schemes
- voting method
- fuzzy clustering
- principal component analysis
- pairwise
- feature extraction
- high dimensional data
- subspace learning
- clustering high dimensional data
- image sequences
- similarity measure
- arbitrary dimension
- majority voting
- subspace methods
- principal components analysis
- lower dimensional
- data analysis
- feature space
- decision support
- neural network