Dynamic Determination of Mixing Parameters in Fuzzy Clustering

This paper considers the simultaneous determination of data classification and linear regression models. The clustering criterion introduced in this paper includes two types of mixing parameters to make a balance between two objectives of clustering: the minimization of variances within clusters and the minimization of regression errors. The paper proposes an idea on dynamic determination of those parameters in the clustering process.