A color image edge detection algorithm is proposed in this paper based on the idea that use global color information to guide local gradient computation. Major chromatic components of an image are rst extracted through cluster analysis. According to these color clusters , a set of linear chromatic transforms are generated. An appropriate chromatic transform is chosen for each pixel to maximize ...

Cluster stability research is involved with the validity of clusters generated by a clustering algorithm. In other words, it answers whether generated clusters are true clusters or due to chance. Estimating true numbers of clusters is related to this problem, since often the cluster validity is based on this estimate. In the literature, there are a number of methods available for both purposes....

Innovation occurs in network environments. Identifying the important players in the innovative process, namely “the innovators”, is key to understanding the process of innovation. Doing this requires flexible analysis tools tailored to work well with complex datasets generated within such environments. One such tool, cluster analysis, organizes a large data set into discrete groups based ...

the gold mineralization in kurdistan province of iran was classified as shear zone gold type by some of the researchers. in the current study, the geochemical samples collected from the secondary environment, stream sediments, at the sw of saqquez area were used to investigate the geochemical characteristics of the gold mineralized zones in this environment. the multi-variant statistical analys...

conclusions based on the location of detected rccs in the structure of hbv proteins, it was found that these rccs may have a critical role in correct folding of hbv proteins and can be considered as drug targets. the results of this study provide new and deep perspectives about structure of hbv proteins for further researches and designing new drugs for treatment of hbv. results the pfam search...

the effectiveness of irap, remap, ssr, and issr markers were investigated to assess genetic diversity among and within eight medicago sativa l. populations. a total of 101, 119, 117 loci and 31 alleles were amplified using 10 irap, 14 remap, 16 issr and eight ssr primers, respectively. irap markers generated the maximum proportion of polymorphic loci per primer (pplp) while the maximum value of...

the objective of this study was to classify the shoosh aquifer to several zones with different water quality in khuzestan province, iran. in this regard, the performance of classification methods (discriminant function and cluster analysis) for the classification of groundwater based on the level of pollution with an emphasis on the problem of over-fitting in training data were considered. an o...

soil can register environmental pollution in itself, so the pollution of an area can be studied through the chemical analysis of its soil. in the present study, the soil ofmellatparkintehranwas sampled. in total, 15 soil samples were collected. using laboratory methods, the mean concentration of pb, zn, and ni were obtained to be 145, 33, and 62 mg/kg, respectively. the results show that the co...

Partitioning objects into closely related groups that have different states allows to understand the underlying structure in the data set treated. Different kinds of similarity measure with clustering algorithms are commonly used to find an optimal clustering or closely akin to original clustering. Using shrinkage-based and rank-based correlation coefficients, which are known to be robust, the ...

A hierarchical scheme for clustering data is presented which applies to spaces with a high number of dimension (N D > 3). The data set is first reduced to a smaller set of partitions (multi-dimensional bins). Multiple clustering techniques are used, including spectral clustering, however, new techniques are also introduced based on the path length between partitions that are connected to one an...