Automatic constraints generation for semisupervised clustering: experiences with documents classification.
Irene Diaz-ValenzuelaVincenzo LoiaMaría J. Martín-BautistaSabrina SenatoreM. Amparo VilaPublished in: Soft Comput. (2016)
Keyphrases
- text clustering
- document clustering
- semi supervised
- document classification
- unsupervised learning
- classification accuracy
- semi supervised clustering
- automatic categorization
- support vector machine svm
- unsupervised clustering
- supervised classification
- case study
- support vector
- automatic classification
- k means
- supervised learning
- clustering algorithm
- unsupervised classification
- clustering analysis
- high dimensionality
- pairwise constraints
- document retrieval
- retrieval systems
- machine learning
- feature selection
- decision trees
- pattern recognition
- feature space
- feature vectors
- xml documents
- information retrieval systems
- clustering method
- transductive learning
- cluster analysis
- cosine similarity
- text categorization
- classification algorithm
- web documents
- document collections
- clustering approaches
- classify documents
- pre classified
- spectral clustering
- data objects
- text documents
- unlabeled data
- text classification
- text mining
- support vector machine
- feature extraction
- information retrieval