A Grid-Based Subspace Clustering Algorithm for High-Dimensional Data Streams.
Yufen SunYansheng LuPublished in: WISE Workshops (2006)
Keyphrases
- high dimensional data streams
- clustering algorithm
- subspace clustering
- anomaly detection
- change detection
- data streams
- clustering high dimensional data
- clustering method
- fuzzy c means
- k means
- principal component analysis
- high dimensional data
- low dimensional
- data clustering
- subspace clusters
- lower dimensional
- linear subspace
- feature extraction
- high dimensional
- feature space
- kernel based nonlinear
- document clustering
- density based clustering
- mixed data
- data sets
- clustering analysis
- subspace learning
- hierarchical clustering
- dimensionality reduction
- probabilistic model
- high quality