Cluster Cores-Based Clustering for High Dimensional Data.
Yi-Dong ShenZhiyong ShenShi-Ming ZhangQiang YangPublished in: ICDM (2004)
Keyphrases
- high dimensional data
- subspace clustering
- data points
- cluster structure
- dimensionality reduction
- high dimensionality
- clustering algorithm
- nearest neighbor
- high dimensional
- low dimensional
- data analysis
- high dimensions
- clustering high dimensional data
- variable weighting
- similarity search
- data clustering
- subspace clustering algorithms
- data sets
- subspace clusters
- high dimensional datasets
- original data
- clustering method
- manifold learning
- cluster analysis
- high dimensional data sets
- lower dimensional
- input space
- dimension reduction
- k means
- high dimensional feature spaces
- linear discriminant analysis
- hierarchical clustering
- high dimensional spaces
- locally linear embedding
- machine learning
- learning algorithm
- feature space
- unsupervised learning
- clustering quality
- nearest neighbor search
- gene expression data
- cluster centers
- training set
- data mining
- neural network
- database