A k-means type clustering algorithm for subspace clustering of mixed numeric and categorical datasets.
Amir AhmadLipika DeyPublished in: Pattern Recognit. Lett. (2011)
Keyphrases
- subspace clustering
- clustering algorithm
- clustering approaches
- k means
- categorical values
- subspace clusters
- clustering method
- cluster analysis
- data clustering
- categorical attributes
- numeric attributes
- clustering high dimensional data
- high dimensional data
- high dimensional feature spaces
- fuzzy c means
- overlapping clusters
- categorical data
- document clustering
- spectral clustering
- subspace projection
- subgraph mining
- fuzzy clustering
- high dimensional
- database
- cluster centers
- clustering framework
- high dimensionality
- expectation maximization
- input data
- nearest neighbor
- subspace projections
- image processing