Clustering is regarded as one of the significant task in data mining and has been widely used in very large data sets. Soft clustering is unlike the traditional hard clustering which allows one data belong to two or more clusters. Soft clustering such as fuzzy c-means and rough k-means have been proposed and successfully applied to deal with uncertainty and vagueness. However, the influx of ver...

-This paper presents the application of fuzzy c-means (FCM) clustering in the order reduction of dynamic models for controller design in a power system. Based on the fuzzy c-means algorithm, a method is proposed for clustering the poles and zeros of the original power system model into new clusters from which a reduced-order model can be obtained. Then the reduced-order model is used to design ...

Herding is the process of bringing individuals (e.g. animals) together into a group. More specifically, we consider self– organized herding as the process of moving a set of individuals to a given number of locations (cluster centers) without any external control. We formally describe the relation between herding and clustering and show that any clustering model can be used to control herding p...