On c-Regression with Constraints on Cluster Size

Abstract

The c-regression is a clustering algorithm that performs regression analysis at the same time by using the dataset of independent variables and dependent variables. Therefore, the c-regression can classify data into each tendency of data. Incidentally, when clustering is used in the actual society, there is a situation where it is preferable that the number of data to be classified is uniform. This paper proposes a new c-regression with constraints on cluster size by introducing size equalization concept to the c-regression.