High Dimensional Data Clustering Using SOFM And K-Means Algorithms.
Tarek F. GharibMostafa G. MostafaMohamed F. TolbaPublished in: ICEIS (2002)
Keyphrases
- high dimensional data
- k means
- variable weighting
- clustering algorithm
- subspace clustering
- high dimensional datasets
- high dimensional spaces
- data clustering
- high dimensional
- high dimensional data sets
- data points
- clustering method
- dimensional data
- self organizing maps
- high dimensionality
- data sets
- nearest neighbor
- dimensionality reduction
- low dimensional
- similarity search
- clustering high dimensional data
- clustering approaches
- dimension reduction
- clustering quality
- high dimensions
- spectral clustering
- data analysis
- high dimensional feature spaces
- lower dimensional
- cluster analysis
- data streams
- nonlinear dimensionality reduction
- learning algorithm
- neural network
- particle swarm optimizer
- locally linear embedding
- image processing
- data structure
- input space
- hierarchical clustering