Subspace Clustering for High-Dimensional Data Using Cluster Structure Similarity.
Kavan FatehiMohsen RezvaniMansoor FatehMohammad-Reza PajoohanPublished in: Int. J. Intell. Inf. Technol. (2018)
Keyphrases
- high dimensional data
- subspace clustering
- cluster structure
- dimensionality reduction
- high dimensional
- nearest neighbor
- high dimensionality
- data points
- original data
- low dimensional
- subspace clusters
- data sets
- clustering high dimensional data
- similarity measure
- data analysis
- similarity search
- euclidean distance
- distance function
- overlapping clustering
- sparse representation
- clustering method
- low rank
- lower dimensional
- dimension reduction
- manifold learning
- high dimensional spaces
- subspace clustering algorithms
- text data
- data distribution
- neural network
- linear discriminant analysis
- input data
- distance measure
- multi dimensional
- pattern recognition
- machine learning