Measures of uncertainty for partially labeled categorical data based on an indiscernibility relation: an application in semi-supervised attribute reduction.
Jiali HeGangqiang ZhangDan HuangPei WangGuangji YuPublished in: Appl. Intell. (2023)
Keyphrases
- categorical data
- semi supervised
- attribute reduction
- partially labeled
- rough set theory
- rough sets
- equivalence relation
- knowledge reduction
- fully labeled
- numerical data
- semi supervised learning
- cluster analysis
- unlabeled data
- dominance relation
- decision table
- unsupervised learning
- labeled data
- discernibility matrix
- concept lattice
- attribute values
- text classification
- statistical relational learning
- pairwise
- active learning
- label information
- decision rules
- supervised learning
- knowledge discovery
- data mining
- approximation spaces
- data analysis
- generative model
- fuzzy logic
- fuzzy sets
- association rules
- pairwise constraints
- object recognition
- pattern recognition
- computer vision
- machine learning