In this paper, conventional validity indexes are reviewed and the shortcomings of the fuzzy cluster validation index based on inter-cluster proximity are examined. Based on these considerations, a new cluster validity index is proposed for fuzzy partitions obtained from the fuzzy c-means algorithm. The proposed validity index is defined as the average value of the relative intersections of all possible pairs of fuzzy clusters in the system. It computes the overlap between two fuzzy clusters by considering the intersection of each data point in the overlap. The optimal number of clusters is obtained by minimizing the validity index with respect to c. Experiments in which the proposed validity index and several conventional validity indexes were applied to well known data sets highlight the superior qualities of the proposed index.

Among the broadband wireless communication standards utilized to satisfy the demand for multimedia services, time division duplexing (TDD) is satisfactory for the asymmetric data transmission emphasized in Internet services. In this system, the transition between receiving a frame and transmitting a response must be bounded for an effective use of radio resources. However, the minimized inter-frame space-time requires high processing power. The aim of the present paper is to gain insight into the time latency at the turn-around time of a TDD operation. We also propose a simplified new processor, which is a terminal device-friendly architecture that includes prediction and preparation to support processing of burst-type traffic.