small and medium enterprises development policy by  cluster approach  program is a new method to attempt to industrial development goals in developed and developing country in the world. in the last decades in some of country such as iran concentrate that programmed. industrial development program by cluster approach need some measurable factor for control and assessment. program’s control must...

Many of the statistical methods currently employed to analyze fMRI data depend on a response template. However, the true form of the hemodynamic response, and thereby the response template, is often unknown. Consequently, cluster analysis provides a complementary, template-free method for exploratory analysis of multidimensional fMRI data sets. Clustering algorithms currently being applied to f...

OBJECTIVE Cluster analysis is widely applied to identify dietary patterns. A new method based on Gaussian mixture models (GMM) seems to be more flexible compared with the commonly applied k-means and Ward's method. In the present paper, these clustering approaches are compared to find the most appropriate one for clustering dietary data. DESIGN The clustering methods were applied to simulated...

In this paper we present a novel approach to solving Constraint Satisfaction Problems whose constraint graphs are highly clustered and the graph of clusters is close to being acyclic. Such graphs are encountered in many real world application domains such as configuration, diagnosis, model-based reasoning and scheduling. We present a class of variable ordering heuristics that exploit the cluste...

Merge-and-shrink is a general method for deriving accurate abstraction heuristics. We present two novel nonlinear merging strategies, UMC and MIASM, based on variable interaction. The principle underlying our methods is to merge strongly interacting variables early on. UMC measures variable interaction by weighted causal graph edges, and MIASM measures variable interaction in terms of the numbe...

This paper focuses on decoding as main part of statistical machine translation. Decoding is considering as a NPcomplete algorithm that requires intelligent heuristics to and optimum solutions. In order to solve this problem, we proposed a decoder named DAIS based on the meta-heuristic of artificial immune system. The evaluation is performed on two different corpora. The obtained translations sh...

To identifying of the high yielding wheat lines with optimal characteristics and to determine the traits which could be used as the selection index for increasing of grain yield, 40 recombinant inbred lines derived from a cross between Norstar and Zagros cultivars were evaluated in a randomized complete block design with three replications. The measured characters consisted of peduncle weight, ...