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...

BACKGROUND The main goal of psychiatric care is not to be focused only on reducing psychopathological symptoms, but on improvement of the patient's quality of life. AIM To examine validation and reliability SQLS-R4 among patients with schizophrenia. METHODS The sample consisted of 61 outpatients with schizophrenia attending the Psychiatry Hospital "Skopje". nclusion criteria for subject sel...

Variable string length genetic algorithm (GA) is used for developing a novel nonparametric clustering technique when the number of clusters is not fixed a priori. Chromosomes in the same population may now have different lengths since they encode different number of clusters. The crossover operator is redefined to tackle the concept of variable string length. Cluster validity index is used as a...

K-means is one of the widely researched clustering algorithms. But it is sensitive to the selection of initial cluster centers and estimation of the number of clusters. In this chapter, we propose a novel approach to find the efficient initial cluster centers using kd-tree and compute the number of clusters using joint distance function. We have carried out excessive experiments on various synt...

Although the goal of clustering is intuitively compelling and its notion arises in many fields, it is difficult to define a unified approach to address the clustering problem and thus diverse clustering algorithms abound in the research community. These algorithms, under different clustering assumptions, often lead to qualitatively different results. As a consequence the results of clustering a...

Despite the use of art therapy in clinical practice, its appreciation and reported beneficial results, no instruments are available to measure specific effects of art therapy among patients with personality disorders cluster B/C in multidisciplinary treatment. In the present study, we described the development and psychometric evaluation of the Self-expression and Emotion Regulation in Art Ther...

A considerable amount of work has been dedicated to clustering numerical data sets, but only a handful of categorical clustering algorithms are reported to date. Furthermore, almost none has addressed the following two important cluster validity problems: (1) Given a data set and a clustering algorithm that partitions the data set into k clusters, how can we determine the best k with respect to...