knowing the fact that the main weakness of the most standard methods including k-means and hierarchical data clustering is their sensitivity to initialization and trapping to local minima, this paper proposes a modification of convex data clustering  in which there is no need to  be peculiar about how to select initial values. due to properly converting the task of optimization to an equivalent...

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...

In the economy of Russian regions, situation has developed in such a way that their development requires new approaches and technologies for managing pro- cesses based on knowledge, latest achievements world experience. The indi- cated trend implies need to develop justify competitive strate- gies advantages available each region, reflecting spe- cifics potential. Innovation clusters play speci...

In industrial extrusion processes, increasing shear rates can lead to higher production rates. However, at high rates, extruded polymers and polymer compounds often exhibit melt instabilities ranging from stick-slip sharkskin gross fracture. These result in challenges meet the specifications on extrudate shape. Starting with an existing published data set extrusion, we assess suitability of clu...

Security is one of the major concerns in Industrial Wireless Sensor Networks (IWSNs). To assure security clustered IWSNs, this paper presents a secure clustering protocol with fuzzy trust evaluation and outlier detection (SCFTO). Firstly, to deal transmission uncertainty an open wireless medium, interval type-2 logic controller adopted estimate trusts. And then density based mechanism introduce...

search pointers organize the main part of the application on the internet. however, because of information management hardware, high volume of data and word similarities in different fields the most answers to the user s’ questions aren`t correct. so the web graph clustering and cluster placement in corresponding answers helps user to achieve his or her intended results. community (web communit...