Research on the Improved FCM Cluster Method in the Hotspots Analysis on Web

With the explosion of electronic information on web, the detection and tracing are difficult, there is the increasing requirement to identify the hotspots. The Fuzzy C Means (FCM) fuzzy cluster method can provide clear borderlines among different clusters, but the cluster validity analysis of FCM is devoid. Aim to solve the aforementioned problem, an improved FCM cluster method is proposed. Before the cluster process, a "variety difference-segregation degree" (VDSD) function is adopted to pretreat the vectors which obtained by the TF-IDF method. Taken the data structure of sample space and membership of fuzzy cluster into account, the function can calculate the optimize number of cluster exactly. The simulation results indicate that the improved FCM cluster method is with availability and provide a novel means for the hotspots analysis on web.