Abstract. Extensive work has been done in recent years on automatically grouping words into categories. For example, {Wednesday, Monday, Tuesday} could be grouped into a `days of w...
Neil Rubens, Vera Sheinman, Takenobu Tokunaga, Mas...
This paper presents an analysis of the control overhead involved in clustering and routing for one-hop clustered mobile ad hoc networks. Previous work on the analysis of control o...
Mingqiang Xue, Inn Inn Er, Winston Khoon Guan Seah
Monitoring cluster evolution in data streams is a major research topic in data streams mining. Previous clustering methods for evolving data streams focus on global clustering res...
Liang Tang, Chang-jie Tang, Lei Duan, Chuan Li, Ye...
Abstract. Kernel based methods (such as k-nearest neighbors classifiers) for AI tasks translate the classification problem into a proximity search problem, in a space that is usu...
Many important problems involve clustering large datasets. Although naive implementations of clustering are computationally expensive, there are established efficient techniques f...