An interactive tool for constrained clustering

This paper describes an interactive tool for constrained clustering that helps users to select effective constraints efficiently during the clustering process. This tool has some functions such as 2-dimensional visual arrangement of a data set and constraint assignment by mouse manipulation. Moreover, it can execute distance metric learning and k-medoids clustering. In the paper, we show the overview of the tool and how it works, especially in the functions of display arrangement by multi-dimensional scaling and incremental distance metric learning.