this paper compares clusters of aligned persian and english texts obtained from k-means method. text clustering has many applications in various fields of natural language processing. so far, much english documents clustering research has been accomplished. now this question arises, are the results of them extendable to other languages? since the goal of document clustering is grouping of docum...

Vehicular ad-hoc network (VANET) is an important component of intelligent transportation systems, in which vehicles are equipped with on-board computing and communication devices which enable vehicle-to-vehicle communication. Consequently, with regard to larger communication due to the greater number of vehicles, stability of connectivity would be a challenging problem. Clustering technique as ...

background: since tumors located in thorax region of body mainly move due to respiration, in the modern radiotherapy, there have been many attempts such as; external markers, strain gage and spirometer represent for monitoring patients’ breathing signal. with the advent of fluoroscopy technique, indirect methods were proposed as an alternative approach to extract patients’ breathing signals. ma...

Clustering is one of the known techniques in the field of data mining where data with similar properties is within the set of categories. K-means algorithm is one the simplest clustering algorithms which have disadvantages sensitive to initial values of the clusters and converging to the local optimum. In recent years, several algorithms are provided based on evolutionary algorithms for cluster...

We propose a class of Fisher-consistent robust estimators for mixture models. These are then used to build model-based clustering procedure. study in detail the case multivariate Gaussian mixtures and an algorithm, similar EM compute proposed clusters. An extensive Monte Carlo simulation shows that our proposal outperforms other non robust, state art, procedures. apply real data set show again ...