background to assess maternal confidence in her ability to cope with labor, a measure of childbirth self efficacy is necessary. objectives this paper aims to assess the cultural adaptation and psychometric testing of the short form of childbirth self-efficacy inventory among iranian pregnant women. patients and methods in this descriptive-methodological study, we investigated 383 iranian pregna...

In this paper, conventional validity indexes are reviewed and the shortcomings of the fuzzy cluster validation index based on intercluster proximity are examined. Based on these considerations, a new cluster validity index is proposed for fuzzy partitions obtained from the fuzzy c-means algorithm. The proposed validity index is defined as the average value of the relative intersections of all p...

In this paper, a new cluster validity criterion for fuzzy c-regression models (FCRM) clustering algorithm with affine linear functional cluster representatives is proposed. The proposed cluster validity criterion calculates the overall compactness and separateness of the FCRM partition and then determines the appropriate number of clusters. Besides, its application to fuzzy model identification...

background: the present study aimed to translate and evaluate the reliability and validity of the persian version of the 11-item intermittent and constant osteoarthritis pain (icoap) measure in iranian subjects with knee osteoarthritis (koa). materials and methods: the icoap questionnaire was translated according to the manufacturers alliance for productivity and innovation (mapi) protocol. the...

The structural characteristics of clusters are investigated in the partitioning process. Two partition functions, which show opposite properties around the optimal cluster number, are found and a new cluster validity index is presented based on the combination of these functions. Some properties of the index function are discussed and numerical examples are presented. key words: clustering, val...

Conventional cluster validity techniques usually represent all the validity information available about a particular clustering by a single numbel. The display method introduced here uses images generated lrom the results of any prototype generator clustering algorithm to do cluster validation.

Many validity measures and learning algorithms have been applied for quantitatively evaluating the performance of clustering algorithms. However, existing validity measures and clustering evaluation are based on a single realization, and lack of generality. These tasks involve more than one criterion, so it can be modelled as a multiple criteria decision making (MCDM) problem. In this paper, we...

Despite real progress in software engineering, the implementation of a successful measurement program in a software organization is still a serious challenge. Most of the problems are mainly due to the maturity level of the organization and to the credit given by the software engineering community for the software measure. Software measurement, like other disciplines, must be based on the measu...

In this paper, we propose a GA-based unsupervised clustering technique that selects cluster centers directly from the data set, allowing it to speed up the fitness evaluation by constructing a look-up table in advance, saving the distances between all pairs of data points, and by using binary representation rather than string representation to encode a variable number of cluster centers. More e...