The need to conduct and manage large sets of experiments for scientific applications dramatically increased over the last decade. However, there is still very little tool support ...
Distributed systems based on cluster of workstation are more and more difficult to manage due to the increasing number of processors involved, and the complexity of associated appl...
In fuzzy clustering, the fuzzy c-means (FCM) algorithm is the best known and most used method. Although FCM is a very useful method, it is sensitive to noise and outliers so that W...
The core computation in BDD-based symbolic synthesis and verification is forming the image and pre-image of sets of states under the transition relation characterizing the sequen...
It is well-known that for high dimensional data clustering, standard algorithms such as EM and the K-means are often trapped in local minimum. Many initialization methods were pro...
Chris H. Q. Ding, Xiaofeng He, Hongyuan Zha, Horst...