Finding placement-relevant clusters with fast modularity-based clustering.
Mateus FogaçaAndrew B. KahngRicardo ReisLutong WangPublished in: ASP-DAC (2019)
Keyphrases
- clustering algorithm
- hierarchical clustering
- overlapping clusters
- cluster analysis
- unsupervised clustering
- k means
- data clustering
- clustering method
- clustering framework
- incremental clustering
- data points
- fuzzy clustering
- clustering scheme
- graph clustering
- intra cluster
- density based clustering
- clustering approaches
- document clustering
- agglomerative hierarchical clustering
- inter cluster
- cluster validation
- model based clustering
- self organizing maps
- clustering result
- hierarchical clustering algorithm
- disjoint clusters
- spatial clustering
- fuzzy k means
- constrained clustering
- density based clustering algorithm
- soft clustering
- categorical data
- cluster centers
- affinity propagation
- similar objects
- clustering procedure
- cluster membership
- community detection
- consensus clustering
- validity measures
- arbitrary shape
- fuzzy clustering algorithm
- classical clustering algorithms
- homogeneous groups
- clustering quality
- cluster structure
- clustering ensemble
- cluster labels
- fuzzy c means
- cluster validity
- arbitrary shaped
- normalized cut
- kohonen self organizing maps
- simultaneous clustering
- meaningful clusters
- hierarchical agglomerative clustering
- high dimensional
- social networks
- high dimensional datasets
- similarity matrix
- outlier detection