in this study the accuracy of one of the vital signs(boyd temperature) reported by the nursing staff was compared with the reporting of the control group,in order to find the problems and ways to solve them.to do this,117 body temperatures reported from hospitalized patients in pediatrics wards in Kerman university No1 hospital were analused.samples were gathered by clustering method from diffe...

Data clustering is a combinatorial optimization problem. This article shows that clustering is also an optimization problem for an analytic function. The mean squared error, or in this case, the squared error can expressed as an analytic function. With an analytic function we benefit from the existence of standard optimization methods: the gradient of this function is calculated and the descent...

During production, an error was introduced into the abstract. The correct sentence appears below: In Saccharomyces cerevisiae, chromatin is spatially organized within the nucleus with centromeres clustering near the spindle pole body, telomeres clustering into foci at the nuclear periphery, ribosomal DNA repeats localizing within a single nucleolus, and transfer RNA (tRNA) genes present in an a...

The software project development plays important role in software quality. Measuring software quality in a specific manner such as error estimation and check severity of error which is related to the document bug .Data mining create a supportable platform for software project development by which software engineers easily achieved goal of project quality in given time duration and budget .In th...

Co-clustering, or simultaneous clustering of rows and columns of a two-dimensional data matrix, is rapidly becoming a powerful data analysis technique. Co-clustering has enjoyed wide success in varied application domains such as text clustering, gene-microarray analysis, natural language processing and image, speech and video analysis. In this paper, we introduce a partitional co-clustering for...