On the superiority of modularity-based clustering for determining placement-relevant clusters.
Mateus FogaçaAndrew B. KahngEder MonteiroRicardo ReisLutong WangMingyu WooPublished in: Integr. (2020)
Keyphrases
- clustering algorithm
- hierarchical clustering
- overlapping clusters
- cluster analysis
- data clustering
- k means
- clustering framework
- clustering method
- data points
- clustering scheme
- clustering approaches
- graph clustering
- document clustering
- fuzzy clustering
- incremental clustering
- clustering quality
- unsupervised clustering
- agglomerative hierarchical clustering
- density based clustering
- cluster centers
- self organizing maps
- hierarchical clustering algorithm
- arbitrary shape
- spatial clustering
- disjoint clusters
- density based clustering algorithm
- model based clustering
- constrained clustering
- intra cluster
- clustering result
- fuzzy k means
- soft clustering
- inter cluster
- kohonen self organizing maps
- homogeneous groups
- cluster membership
- affinity propagation
- fuzzy clustering algorithm
- agglomerative clustering
- clustering procedure
- unsupervised learning
- fuzzy c means
- normalized cut
- cluster labels
- clusters of arbitrary shapes
- cluster validation
- cluster structure
- validity measures
- synthetic datasets
- subspace clustering
- clustering analysis
- categorical data
- arbitrary shaped
- bayesian information criterion
- cluster validity
- hierarchical agglomerative clustering
- data objects
- spectral clustering