Batch FCM with volume prototypes for clustering high-dimensional datasets with large number of clusters.
Tomás VintrLukas PastorekVanda VintrováHana RezankováPublished in: NaBIC (2011)
Keyphrases
- high dimensional datasets
- clustering algorithm
- clustering framework
- fuzzy clustering
- cluster centers
- outlier detection
- high dimensional data
- high dimensional
- k means
- high dimensionality
- cluster analysis
- data points
- data mining
- clustering quality
- fuzzy c means
- databases
- principal component analysis
- data analysis
- data clustering
- spectral clustering
- similarity measure
- decision trees
- image processing
- feature selection
- machine learning