Clustering is ill-defined. Unlike supervised learning where labels lead to crisp performance criteria such as accuracy and squared error, clustering quality depends on how the cl...
Rich Caruana, Mohamed Farid Elhawary, Nam Nguyen, ...
Classical clustering algorithms are based on the concept that a cluster center is a single point. Clusters which are not compact around a single point are not candidates for class...
Within the area of criminal and terrorist social network analysis, there is little research being done on analysing the communication behavior of criminal and terrorist groups. In...
Mark Jyn-Huey Lim, Michael Negnevitsky, Jacky Hart...
In distributed work environments, where users are sharing and searching resources, ensuring an appropriate ranking at remote peers is a key problem. While this issue has been inves...
— Results of queries by personal names often contain documents related to several people because of the namesake problem. In order to differentiate documents related to different...