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...

Lung lesion segmentation refers to the process of partitioning an image into mutually exclusive regions. This study gives a new approach to K-means clustering technique (K-CT) integrated with Fuzzy C-means algorithm for lung segmentation. In the study, large number of images with various types of segmentation was selected and examined. It is followed by thresholding and level set segmentation s...

There is a need to organize a large set of documents into categories through clustering so as to facilitate searching and finding the relevant information on the web with large number of documents becomes easier and quicker. Hence we need more efficient clustering algorithms for organizing documents. Clustering on large text dataset can be effectively done using partitional clustering algorithm...

Image segmentation is a process by which an image is partitioned into regions with similar features. Many approaches have been proposed for color image segmentation, but Fuzzy C-Means has been widely used, because it has a good performance in a large class of images. However, it is not adequate for noisy images and it also takes more time for execution as compared to other method as K-means. Fo...

In recent years, the Fuzzy Relational Database and its queries have gradually become a new research topic. Fuzzy Structured Query Language (FSQL) is used to retrieve the data from fuzzy database because traditional Structured Query Language (SQL) is inefficient to handling uncertain and vague queries. The proposed model provides the facility for naïve users for retrieving relevant results of no...

Edge Detection is a novel approach in Image processing step. In many procedures during this detection process noise occurrence results in change of quality in images. In this paper a different approach is proposed for Edge detection using Fuzzy C means clustering method with different values of pixels in images. This process exhibits ample resistance to the noise comparatively to other existing...

In fuzzy clustering, the fuzzy c-means (FCM) clustering algorithm is the best known and used method. An interesting extension of FCM is the fuzzy ISODATA (FISODATA) algorithm; it updates cluster number during the algorithm. That's why we can have more or less clusters than the initialization step. It's the power of the fuzzy ISODATA algorithm comparing to FCM. The aim of this paper is...