Improved Parameterless K-Means: Auto-Generation Centroids and Distance Data Point Clusters.
Wan Maseri Binti Wan MohdAbul Hashem BegTutut HerawanAhmad NoraziahKhandakar Fazley RabbiPublished in: Int. J. Inf. Retr. Res. (2011)
Keyphrases
- data points
- k means
- cluster centers
- cluster centroids
- cluster structure
- clustering algorithm
- euclidean distance
- distance function
- nearest neighbor
- distance metric
- sufficient statistics
- maximum distance
- data clustering
- cluster analysis
- dimensionality reduction
- fuzzy c means
- hierarchical clustering
- self organizing maps
- high dimensional
- data sets
- clustering method
- fuzzy k means
- high dimensional data
- distance measure
- initial cluster centers
- hyperplane
- clustering quality
- spectral clustering
- input data
- clustering solutions
- feature space
- data distribution
- low dimensional
- neighborhood graph
- hierarchical clustering algorithm
- agglomerative hierarchical clustering
- expectation maximization
- input space
- squared euclidean distance
- clustering result
- dimensional data
- pairwise
- feature extraction