Scaling Clustering Algorithm for Data with Categorical Attributes.
Eréndira Rendón, R. Barandela · 2015
Abstract:- Clustering constitutes an important task inside the fields of Pattern Recognition and Data Mining. Clustering of categorical data is a difficult problem and has not received the attention its importance deserves. In the present paper, we introduce a new clustering method to work with categorical data. The algorithm is easily scalable and yields better clustering results that the well-known K-MODES and Rock algorithms.