Mutual Information Scoring: Increasing Interpretability in Categorical Clustering Tasks with Applications to Child Welfare Data

Pranav Sankhe, Seventy F. Hall, Melanie Sage, Maria Y. Rodriguez, Varun Chandola, Kenneth Joseph. Mutual Information Scoring: Increasing Interpretability in Categorical Clustering Tasks with Applications to Child Welfare Data. In Robert Thomson 0001, Christopher L. Dancy, Aryn Pyke, editors, Social, Cultural, and Behavioral Modeling - 15th International Conference, SBP-BRiMS 2022, Pittsburgh, PA, USA, September 20-23, 2022, Proceedings. Volume 13558 of Lecture Notes in Computer Science, pages 165-175, Springer, 2022. [doi]

Abstract

Abstract is missing.