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: CoRR (2022)
Keyphrases
- mutual information
- categorical data
- data points
- data sets
- information theoretic
- data processing
- data mining tasks
- original data
- clustering analysis
- data analysis
- database
- data collection
- statistical analysis
- synthetic data
- neural network
- data quality
- missing values
- data structure
- k means
- high dimensional data
- raw data
- web pages
- data objects
- data mining techniques
- data mining
- image data
- knowledge discovery