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27.373  Articles
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Context. Cluster analysis is a method of classification without a teacher, that is, under conditions where preliminary informationon the number of clusters is previously unknown. Therefore, defining the optimal number of clusters and test results of parti... see more

Finding the optimal cluster number and validating the partition resultsof a data set are difficult tasks since clustering is an unsupervised learning process.Cluster validity index (CVI) is a kind of criterion function for evaluating the clusteringresults... see more

The purpose of the research is to determine high school teachers’ skill rate in designing exam questions in mathematics subject. The statistical population was all of mathematics exam shits for two semesters in one school year from which a sample of 364 e... see more

Context. Monitoring natural systems of diverse nature is an essential condition of rational environmental management. Data Mining technologies, cluster analysis in particular, provide a wide range of capabilities for data sets visualization, which makes i... see more

One of the strategies in order to compete in Batik  MSMEs  is to look at the characteristics of the customer. To make it easier to see the characteristics of  customer buying behavior, it is necessary to classify customers based on similari... see more

New technologies such as sensor networks have been incorporated into the management of buildings for organizations and cities. Sensor networks have led to an exponential increase in the volume of data available in recent years, which can be used to extrac... see more

The present study aimed to investigate the extent of variability and relationships between grain yield and morpho-physiological durum wheat traits. Sufficient variability was observed for most characters. Based on stress indices, either widely or specific... see more

The debate about the validity of the Rorschach test, compared with psychometric inventories, is particularly relevant in the forensic evaluation.The aim of the study is to present an overview on the control indices proposed in Rorschach (e.g. R,  F%,... see more

AbstractCluster analysis can be defined as identifying groups of similar objects to discover distribution of patterns and interesting correlations in large data sets. Clustering analysis is important in the fields of pattern recognition and pattern classi... see more

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