This study’s purpose was to examine the psychometric properties of two new scales developed to quantitatively measure participants’ ownership in exercise classes and empowerment with respect to exercise. These two outcome measures will compliment Achievement Goal Perspective Theory (AGPT) grounded research to better understand participants’ exercise experiences. College exercise class participa...

The intent of this article is to illustrate how a cluster analysis might be conducted, validated, and interpreted. Data normed for a behavioral assessment instrument with 14 scales on a sample drawn from a nationally representative pool of U.S. school children were utilized. The analysis discussed covers the cluster method, cluster typology, cluster validity, cluster structure, and prediction o...

effective knowledge sharing as one of the basic aspects of knowledge management can be considered as one of the most important successes in changing and complicated contexts of sport organizations. the aim of this study was to study the effects of intrinsic and extrinsic motivations on knowledge sharing in employees of physical education organizations of isfahan. the research method used descri...

Determining optimal number of clusters in a dataset is a challenging task. Though some methods are available, there is no algorithm that produces unique clustering solution. The paper proposes an Automatic Merging for Single Optimal Solution (AMSOS) which aims to generate unique and nearly optimal clusters for the given datasets automatically. The AMSOS is iteratively merges the closest cluster...

There are many clustering algorithms for gene expression data in the literature that are robust against noise and outliers. The limitation with many of these algorithms is that they cannot identify the overlapping and intersecting clusters. This paper presents an algorithm for clustering gene expression data using the concepts of common neighbors and fuzzy clustering for detecting intersecting ...

Whereas the variable selection has been extensively studied in the context of supervised learning, the unsupervised variable selection has attracted attention of researchers more recently as the available amount of unlabeled data has exploded. Many unsupervised variable ranking criteria were proposed and their relevance is usually demonstrated using either external cluster validity indexes or t...

abstract the main objective of the study was to develop and validate a questionnaire to measure entrepreneurial behavior. statistical population (n = 1497) of the research were all humanities graduate students at the science and research branch of islamic azad university, tehran in 2011, of whom 500 individuals were selected and completed a researcher compiled entrepreneurial behavior questionn...

0 x N 2 π v 1) (2y cos N 2 π u 1) (2x cos y) f(x, ) ( ) ( v) (u, C v u α α ABSTRACT This paper presents a new approach to image compression based on fuzzy clustering. This new approach includes prefiltering, fuzzy logic image enhancing and obtaining of cluster centers by performing the zig-zag method in discrete cosine transform coefficients. After applying the new method on sample images at di...

A simple and effective fuzzy clustering approach is presented for fuzzy modeling from industrial data. In this approach, fuzzy clustering is implemented in two phases: data compression by a self-organizing network, and fuzzy partitioning via fuzzy cmeans clustering associated with a proposed cluster validity measure. The approach is used to extract fuzzy models from data and find out the optima...