Clustering and classification via cluster-weighted factor analyzers.
Sanjeena SubediAntonio PunzoSalvatore IngrassiaPaul D. McNicholasPublished in: Adv. Data Anal. Classif. (2013)
Keyphrases
- unsupervised clustering
- clustering algorithm
- data clustering
- unsupervised learning
- hierarchical clustering
- cluster analysis
- unsupervised classification
- clustering method
- supervised classification
- k means
- decision trees
- overlapping clusters
- classification accuracy
- clustering analysis
- image classification
- support vector machine svm
- som neural network
- clustering procedure
- clustering approaches
- clustering framework
- clustering quality
- inter cluster
- cluster membership
- fuzzy clustering
- feature selection
- machine learning
- data points
- feature space
- spectral clustering
- self organizing maps
- text clustering
- support vector machine
- k nearest neighbour
- validity measures
- support vector
- clustering scheme
- intra cluster
- pattern recognition
- feature extraction
- model based clustering
- density based clustering algorithm
- factor analyzers
- agglomerative hierarchical clustering
- training set
- feature vectors
- text classification
- classification method