Approximate Cluster Heat Maps of Large High-Dimensional Data.
Punit RathoreJames C. BezdekDheeraj KumarSutharshan RajasegararMarimuthu PalaniswamiPublished in: ICPR (2018)
Keyphrases
- high dimensional data
- subspace clustering
- data points
- nearest neighbor
- dimensionality reduction
- high dimensionality
- low dimensional
- high dimensional
- cluster structure
- high dimensions
- data analysis
- dimension reduction
- data sets
- similarity search
- variable weighting
- subspace clusters
- high dimensional datasets
- original data
- clustering high dimensional data
- clustering algorithm
- sparse representation
- data distribution
- data clustering
- nonlinear dimensionality reduction
- manifold learning
- subspace learning
- linear discriminant analysis
- text data
- input data
- small sample size
- principal component analysis
- high dimensional spaces
- locally linear embedding
- feature extraction
- high dimensional data sets
- k means
- neural network
- lower dimensional
- input space
- semi supervised
- cluster analysis
- distance measure