Scalable Clustering for Large High-Dimensional Data Based on Data Summarization.
Ying LaiRatko OrlandicWai Gen YeeSachin KulkarniPublished in: CIDM (2007)
Keyphrases
- high dimensional data
- data summarization
- data analysis
- similarity search
- high dimensionality
- dimensionality reduction
- data points
- subspace clustering
- high dimensional
- low dimensional
- nearest neighbor
- clustering high dimensional data
- data distribution
- data mining
- high dimensional data sets
- high dimensional datasets
- high dimensional spaces
- data sets
- multidimensional data
- manifold learning
- data visualization
- data processing
- feature space
- image data
- machine learning
- cluster analysis
- pattern recognition
- image processing
- dimensional data
- stream processing
- k means
- input data