Triangular Kernel Nearest-Neighbor-Based Clustering Algorithm for Discovering True Clusters.
Aina MusdholifahSiti Zaiton Mohd HashimPublished in: PAKDD Workshops (2012)
Keyphrases
- clustering algorithm
- nearest neighbor
- subspace clustering
- overlapping clusters
- high dimensional data
- data points
- k nearest neighbor
- data clustering
- cluster analysis
- fuzzy c means
- k means
- clustering method
- knn
- high dimensional
- fuzzy clustering
- hierarchical clustering algorithm
- density based clustering
- nearest neighbor search
- arbitrary shape
- cluster centers
- clustering framework
- cluster centroids
- hierarchical clustering
- kernel methods
- kernel function
- agglomerative hierarchical clustering
- density based clustering algorithm
- document clustering
- distance function
- normalized cut
- graph clustering
- support vector
- disjoint clusters
- data sets
- clusters of arbitrary shapes
- agglomerative clustering
- affinity propagation
- validity measures
- clustering result
- clustering approaches
- graph partitioning
- input space
- index structure
- spatial clustering
- nearest neighbor algorithm
- constrained clustering
- clustering analysis
- cluster validation
- hierarchical agglomerative clustering
- partitional clustering
- spectral clustering
- similarity search
- feature space