A set theory based similarity measure for text clustering and classification.
Ali A. AmerHassan Ismail AbdallaPublished in: J. Big Data (2020)
Keyphrases
- text clustering
- set theory
- similarity measure
- document clustering
- clustering algorithm
- text categorization
- feature vectors
- hierarchical clustering
- text mining
- pattern recognition
- background knowledge
- supervised learning
- fuzzy sets
- text data
- partial order
- clustering method
- text classification
- image classification
- databases
- pairwise
- decision trees
- wordnet
- k means
- text documents
- multiscale
- feature extraction
- metric learning
- computer vision
- machine learning