Constraint Based Dimension Correlation and Distance Divergence for Clustering High-Dimensional Data.
Xianchao ZhangYao WuYang QiuPublished in: ICDM (2010)
Keyphrases
- clustering high dimensional data
- high dimensional
- subspace clustering
- high dimensional data
- intrinsic dimension
- distance measure
- euclidean distance
- distance transform
- correlation coefficient
- distance function
- kl divergence
- neural network
- distance metric
- hamming distance
- pearson correlation
- distance measurement
- jensen shannon
- kullback leibler
- information theory
- temporal dimension
- mahalanobis distance
- database
- pattern recognition
- image processing
- feature selection
- data sets