A Cellular Automata-Based Clustering Technique for High-Dimensional Data.
S. AbhishekMohammed DharwishAmit DasKamalika BhattacharjeePublished in: ASCAT (2023)
Keyphrases
- high dimensional data
- high dimensionality
- nearest neighbor
- dimensionality reduction
- subspace clustering
- data points
- low dimensional
- high dimensional
- data sets
- high dimensions
- high dimensional data sets
- data analysis
- clustering high dimensional data
- high dimensional datasets
- data distribution
- similarity search
- lower dimensional
- original data
- high dimensional spaces
- linear discriminant analysis
- nonlinear dimensionality reduction
- dimension reduction
- input space
- input data
- manifold learning
- text data
- multi dimensional
- small sample size
- high dimensional feature spaces
- high dimensional data analysis
- dimensional data
- variable weighting
- subspace learning
- gene expression data
- index structure
- particle swarm optimization
- knn
- k means
- pattern recognition
- image processing
- real world