Clustering technique for conceptual clusters.
Brice GovinArnaud Monégier du SorbierNicolas AnquetilStéphane DucassePublished in: IWST (2016)
Keyphrases
- clustering algorithm
- hierarchical clustering
- cluster analysis
- overlapping clusters
- data clustering
- clustering method
- self organizing maps
- document clustering
- k means
- clustering framework
- data points
- clustering scheme
- graph clustering
- hierarchical clustering algorithm
- clustering approaches
- fuzzy clustering
- unsupervised clustering
- model based clustering
- agglomerative hierarchical clustering
- density based clustering algorithm
- clustering procedure
- density based clustering
- arbitrary shape
- fuzzy c means
- incremental clustering
- inter cluster
- spatial clustering
- subspace clustering
- constrained clustering
- cluster membership
- classical clustering algorithms
- intra cluster
- clustering result
- cluster centers
- clusters of arbitrary shapes
- cluster validation
- soft clustering
- validity measures
- kohonen self organizing maps
- clustering quality
- fuzzy clustering algorithm
- clustering analysis
- unsupervised learning
- semi supervised clustering algorithm
- homogeneous groups
- meaningful clusters
- cluster structure
- parameter free
- arbitrary shaped
- normalized cut
- fuzzy k means
- similar objects
- document clusters
- validity indices
- spectral clustering
- high dimensional data
- agglomerative clustering