Scalable Clustering for Mining Local-Correlated Clusters in High Dimensions and Large Datasets.
Kun-Che LuDon-Lin YangPublished in: Fundam. Informaticae (2010)
Keyphrases
- high dimensions
- high dimensional data
- subspace clusters
- subspace clustering
- high dimensional datasets
- clustering approaches
- clustering algorithm
- high dimensional
- overlapping clusters
- multiple data streams
- data points
- high dimensional spaces
- data mining tasks
- nearest neighbor
- hierarchical clustering
- dimensionality reduction
- high dimensionality
- cluster analysis
- clustering method
- low dimensional
- synthetic datasets
- k means
- data sets
- data clustering
- fuzzy clustering
- document clustering
- similarity search
- heterogeneous information networks
- data mining
- data distribution
- data analysis
- graph clustering
- data mining algorithms
- highly correlated
- cluster centers
- sparse representation
- clustering analysis
- euclidean distance