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Organization Component Analysis: The method for extracting insights from the shape of cluster
2021
2021 International Joint Conference on Neural Networks (IJCNN)
Clustering analysis is widely used to stratify data in the same cluster when they are similar according to specific metrics. The process of understanding and interpreting clusters is mostly intuitive. However, we observe each cluster has unique shape that comes out of metrics on data, which can represent the organization of categorized data mathematically. In this paper, we apply novel topological based method to study potentially complex high-dimensional categorized data by quantifying their
doi:10.1109/ijcnn52387.2021.9533650
fatcat:jzz6nqzebrhj3leaqw7cmfwdzm