SUBSCALE: Fast and Scalable Subspace Clustering for High Dimensional Data.
Amardeep KaurAmitava DattaPublished in: ICDM Workshops (2014)
Keyphrases
- subspace clustering
- high dimensional data
- dimensionality reduction
- nearest neighbor
- clustering high dimensional data
- high dimensional
- high dimensionality
- subspace clusters
- low dimensional
- data sets
- data points
- similarity search
- data analysis
- original data
- clustering method
- data distribution
- dimension reduction
- high dimensional spaces
- input space
- linear discriminant analysis
- high dimensional feature spaces
- manifold learning
- small sample size
- lower dimensional
- subspace clustering algorithms
- clustering algorithm
- text data
- machine learning
- data mining
- neural network
- dimensional data
- discriminant analysis
- high dimensional datasets
- principal component analysis
- subspace projections