On Mitigating Hard Clusters for Face Clustering.
Yingjie ChenHuasong ZhongChong ChenChen ShenJianqiang HuangTao WangYun LiangQianru SunPublished in: CoRR (2022)
Keyphrases
- clustering algorithm
- hierarchical clustering
- cluster analysis
- overlapping clusters
- clustering scheme
- clustering method
- document clustering
- data clustering
- data points
- incremental clustering
- unsupervised clustering
- self organizing maps
- clustering approaches
- clustering framework
- k means
- graph clustering
- clustering quality
- agglomerative hierarchical clustering
- density based clustering algorithm
- cluster centers
- clustering procedure
- fuzzy clustering
- inter cluster
- hierarchical clustering algorithm
- density based clustering
- intra cluster
- fuzzy k means
- clustering result
- model based clustering
- constrained clustering
- agglomerative clustering
- fuzzy clustering algorithm
- similar objects
- cluster validation
- fuzzy c means
- soft clustering
- validity measures
- kohonen self organizing maps
- hierarchical agglomerative clustering
- cluster validity
- cluster membership
- cluster structure
- high dimensional datasets
- categorical data
- unsupervised learning
- cluster validity index
- arbitrary shape
- validity indices
- subspace clustering
- human faces
- arbitrary shaped
- face images
- similarity measure
- subspace clusters
- affinity measure
- homogeneous groups
- dense regions
- facial expressions
- outlier detection
- data objects
- synthetic datasets
- cluster ensemble
- bayesian information criterion
- affinity propagation