A new cell-based clustering method for large, high-dimensional data in data mining applications.
Jae-Woo ChangDu-Seok JinPublished in: SAC (2002)
Keyphrases
- data mining applications
- clustering method
- high dimensional data
- data analysis
- subspace clustering
- low dimensional
- nearest neighbor
- high dimensional
- clustering algorithm
- dimensionality reduction
- data mining
- data sets
- data points
- cluster analysis
- data mining techniques
- high dimensionality
- hierarchical clustering
- dimension reduction
- data mining methods
- knowledge discovery
- similarity search
- similarity measure
- fuzzy c means
- original data
- data warehousing
- low rank
- high dimensional datasets
- high dimensional spaces
- k means
- manifold learning
- spectral clustering
- gene expression data
- data mining algorithms
- document clustering
- input data
- real world
- data model
- business intelligence
- unsupervised learning
- preprocessing
- feature extraction
- machine learning