Fuzzy Clustering Via Proportional Membership Model

Development of models with explicit mechanisms for data generation from cluster structures is of major interest in order to provide a theoretical framework for cluster structures found in data. This work proposes a framework for typological classification based on a fuzzy clustering model of data generation.