COOPERATIVE TEAM BUILDING BY DATA CLUSTERING WITH CONSTRAINTS
Chao Lung Yang, Maisyatus S Irfana, Febriliyan Samopa · Computer Supported Cooperative Work in Design · 2014
Making cooperative teams from multiple participants is a common exercise during the beginning of teamwork collaboration. Due to the priori knowledge among participants, several team building constraints can be formed. For example, participants from the same organization should be grouped together.In this research, we consider the cooperative team building as a constrained clustering problem. Clustering algorithms equipped with instance level must-link (ML) and canon-link (CL) are known to improve the efficiency and accuracy on handling data clustering. This paper presents the result of applying the constrained clustering algorithms to accommodate the complete must-link (CML) constraint, a special case of ML constraint, in which all participants should be pre-grouped with other members. The result shows the CML Clustering can be used to group teams by pre-group requirements with promising computational performance.