The Fuzzy c-means algorithm (FCM) is proved to converge to either local minimum or saddle point by Bezdek et al.. However, it is problematical to judge the local minimum of a solution of the FCM in an easy way. In this paper, the Hessian matrix of one reduced objective function of the FCM is got and analyzed. Based on this study, a new optimality test of fixed points of the FCM is given, and it...

This paper considers the problem of partitioning noisy images into different regions by fuzzy clustering approach. Based on two fuzzy c-means (FCM) algorithms (FCM S1 and FCM S2), we propose four adaptive algorithms (FCM S11, FCM S12, FCM S21 and FCM S22) which utilize the high correlation of image pixels to increase the algorithms’ robustness to noise. Unlike existing algorithms, our algorithm...

In fuzzy clustering, the fuzzy c-means (FCM) algorithm is the most commonly used clustering method. However, the FCM algorithm is usually affected by initializations. Incorporating FCM into switching regressions, called the fuzzy c-regressions (FCR), has also the same drawback as FCM, where bad initializations may cause difficulties in obtaining appropriate clustering and regression results. In...

In this study, a network quality of service (QoS) evaluation system was proposed. The system used a combination of fuzzy C-means (FCM) and regression model to analyse and assess the QoS in a simulated network. Network QoS parameters of multimedia applications were intelligently analysed by FCM clustering algorithm. The QoS parameters for each FCM cluster centre were then inputted to a regressio...

In this paper an optimized method for unsupervised image clustering is proposed. Generally a Novel Fuzzy C Means (FCM) or FCM based clustering algorithm are used for clustering based image segmentation but these algorithms have a disadvantage of depending upon supervised user inputs such as number of clusters. Our proposed algorithm enhances an unsupervised preliminary process known as Double C...

صخلملا A total of 48 fresh water fishes, belonging to four species of the family Cyprinidae (Capoeta trutta, Chalcalburnus mossulensis, Cyprinion macrostomum and Leuciscus lepidus) were collected from Darbandikhan lake, southwest Sulaimaniya city, Kurdistan region, in the north of Iraq, from March to the end of July 2008. The inspection of gills revealed the infection of these fishes with four ...

ش ي ر ي ن ي فسو ي نا 1 (M.Sc) ، س ي د ما ي د انعر يي س ي تدا 1 (Ph.D) ، ونهد ناسحا ي 1 و 2 (Ph.D) ، قتدمحم ي جرب ي نا ـنجورب ي 1 (M.Sc) زاـنرف ن ي دازك نانمج ي 1 و 3 (M.Sc) 1 هاگشناد هش ي د تشهب ي ، هدكشناد ي سدنهم ي ژرنا ي روانف و ي اه ي ون ي ،ن امزآ ي هاگش بونان ي ژولونكتو ي ، ب هورگ ي ژولونكتو ي 2 هاگشناد برت ي ت هدكشناد ،سردم ي ز مولع ي تس ي 3 هاگشناد ملا...

Data deals with the specific problem of partitioning a group of objects into a fixed number of subsets, so that the similarity of the objects in each subset is increased and the similarity across subsets is reduced. Several algorithms have been proposed in the literature for clustering, where k-means clustering and Fuzzy C-Means (FCM) clustering are the two popular algorithms for partitioning t...

This study proposes a new single-solution based metaheuristic, namely the Vortex Search algorithm (VS), for fuzzy clustering of ECG beats. The newly proposed metaheuristic is quite simple and highly competitive when compared to the population-based metaheuristics. In order to study the performance of the proposed method a number of experiments are performed over a dataset which is created by us...