Perception Clusters: Automated Mood Recognition Using a Novel Cluster-Driven Modelling System.
Aftab KhanAlexandros ZenonosGeorgios KalogridisYaowei WangStefanos VatsikasMahesh SooriyabandaraPublished in: ACM Trans. Comput. Heal. (2021)
Keyphrases
- clustering algorithm
- hierarchical clustering
- inter cluster
- overlapping clusters
- data clustering
- intra cluster
- disjoint clusters
- cluster analysis
- clustering framework
- agglomerative hierarchical clustering
- data points
- data driven
- subspace clustering
- clustering procedure
- cluster centers
- unsupervised clustering
- subspace clusters
- cluster structure
- clustering quality
- gene clusters
- clustering approaches
- hierarchical clustering algorithm
- model based clustering
- hierarchical agglomerative clustering
- hierarchical structure
- density based clustering algorithm
- semi automated
- cluster membership
- clustering result
- document clusters
- data objects
- possibilistic clustering
- proximity graph
- validity measures
- cluster validity
- emotional state
- constrained clustering
- supervised clustering
- hierarchical clustering algorithms
- meaningful clusters
- oracle real application
- clustering scheme
- cluster labels
- initial set
- arbitrary shape
- fuzzy c means
- k means
- document clustering
- microarray data
- fuzzy c means clustering algorithm
- fuzzy clustering
- similarity matrix
- similar objects
- agglomerative clustering
- cluster validation
- document corpus
- unsupervised learning
- semi supervised