Document clustering aims to automatically group related document into clusters. If two documents are close to each other in the original document space, they are grouped into the same cluster. If the two documents are far away from each other in the original document space, they tend to be grouped into different cluster. The classical clustering algorithms assign each data to exactly one cluste...

Cluster validity indexes have been used to evaluate the fitness of partitions produced by clustering algorithms. This paper presents a new validity index for fuzzy clustering called a partition coefficient and exponential separation (PCAES) index. It uses the factors from a normalized partition coefficient and an exponential separation measure for each cluster and then pools these two factors t...

Cluster validity has been mainly used to evaluate the quality of individual clusters, and compare whole partitions resulting from different or same (using different parameters) clustering algorithms [13]. However, depending on the application, the demands for a validity measure may differ, inducing the necessity of introducing new measures which will suit to the problem under investigation. We ...

This paper proposes a hybrid method of image segmentation by using k-means and agglomerative methods of image segmentation. The K-means method is used to find optimum number of clusters with the help gap method and a validity measure. Then this value is used as a limiting value in merge algorithm. The performance of algorithm is measured using a validity index which is measured by two factors. ...

introduction: now a day, resulting from life style modification and alteration, fatigue, as a consequence, is not uncommon symptom. diverse tools are available to measure fatigue status. one of which is functional assessment of chronic illness treatment (facit) fatigue scale. the facit is one of the most widely used questionnaires for screening fatigue. the questionnaire has been translated and...

Cluster validation is a major issue in cluster analysis. Many existing validity indices do not perform well when clusters overlap or there is significant variation in their covariance structure. The contribution of this paper is twofold. First, we propose a new validity index for fuzzy clustering. Second, we present a new approach for the objective evaluation of validity indices and clustering ...

Web log mining is analysis of web log files with web page sequences. Discovering user access patterns from web access are necessary for building adaptive web servers, to improve e-commerce, to carry out cross-marketing, for web personalization, to predict web access sequence etc. In this paper, a new agglomerative clustering technique is proposed to identify users with similar interest, and to ...

objective: in this study, psychometric qualities of multidimensional perfectionism scale (mps) were evaluated. methods: persian version of perfectionism inventory was completed by 48 adults (24 females and 24 males). the sample was selected by cluster random sampling from sarcheshmeh adult inhabitants. reliability of the scale was assessed by calculating cronbach's alpha coefficient. then ...

FCM-type cluster validation is a technique for searching for the optimal fuzzy partition, in which the number of clusters is evaluated by considering the degree of overlapping of fuzzy memberships, cluster compactness or cluster separation. In this paper, a new approach for FCM-type cluster validation in fuzzy co-clustering is proposed. Because fuzzy co-clustering does not use cluster prototype...