Mutual Information Scoring: Increasing Interpretability in Categorical Clustering Tasks with Applications to Child Welfare Data.
Pranav SankheSeventy F. HallMelanie SageMaria Y. RodriguezVarun ChandolaKenneth JosephPublished in: SBP-BRiMS (2022)
Keyphrases
- exploratory analysis
- data analysis
- mutual information
- data mining techniques
- data mining
- end users
- training data
- data structure
- data collection
- data mining tasks
- categorical data
- original data
- information theoretic
- attribute values
- synthetic data
- high dimensional data
- high quality
- database
- image registration
- image data
- xml documents
- similarity measure