On Mitigating Hard Clusters for Face Clustering.
Yingjie ChenHuasong ZhongChong ChenChen ShenJianqiang HuangTao WangYun LiangQianru SunPublished in: ECCV (12) (2022)
Keyphrases
- clustering algorithm
- hierarchical clustering
- cluster analysis
- data clustering
- overlapping clusters
- clustering scheme
- document clustering
- fuzzy clustering
- self organizing maps
- clustering approaches
- clustering method
- k means
- density based clustering
- clustering quality
- cluster centers
- data points
- graph clustering
- model based clustering
- density based clustering algorithm
- unsupervised clustering
- constrained clustering
- soft clustering
- intra cluster
- inter cluster
- agglomerative hierarchical clustering
- clustering framework
- hierarchical clustering algorithm
- clustering procedure
- agglomerative clustering
- incremental clustering
- cluster membership
- validity measures
- meaningful clusters
- arbitrary shaped
- disjoint clusters
- categorical data
- subspace clustering
- clustering result
- clustering ensemble
- spectral clustering
- spatial clustering
- arbitrary shape
- fuzzy c means
- unsupervised learning
- validity index
- affinity measure
- human faces
- cluster validity
- clusters of arbitrary shapes
- cluster validation
- face images
- subspace clusters
- classical clustering algorithms
- grid cells
- kohonen self organizing maps
- homogeneous groups
- simultaneous clustering
- fuzzy k means
- high dimensional datasets
- hierarchical agglomerative clustering
- cluster centroids
- semi supervised