† Department of Electronics & Communication Engineering, S.R.K. Institute of Technology, Vijayawada, India †† Department of Electronics & Communication Engineering, Jawaharlal Nehru Technological University, Hyderabad, India ††† Department of Electronics & Communication Engineering, Amrita Sai institute of Science & Technology, Paritala, India. Summary This paper presents an algorithm for the e...

Data mining is a collection of techniques used to extract useful information from large data bases. Data clustering is a popular data mining technique. It is the task of grouping a set of objects into classes such that similar objects are placed in the same cluster while dissimilar objects are in separate clusters. Fuzzy cmeans (FCM) is one of the most popular clustering algorithms. However, it...

The thesis of this work is that programmable graphics hardware can be used to implement complex iterative algorithms. This is achieved by manipulating the graphics processing pipeline, which was design specifically for the graphical rendering process, to perform more general purpose applications. In doing so, the parallelism of the graphics hardware can be to achieve performance gains compared ...

In this paper , The intelligent hybrid methods are used for improving the performance of K-means and Cmeans algorithms. . To achieve this, these methods are explained in order to improve the performance of these two data mining algorithms. Some suggestions are provided for this aim. The methods used for explaining in relation to C-means algorithms are fuzzy C-means algorithm, combination of fuz...

A novel approach to the detection of multiple sclerosis (MS) lesions in T2and PD-weighted MR images is presented. The core of the proposed method is the use of the two channels fuzzy cmeans (FCM) segmentation of data, where the classical FCM approach runs, at first, on the two separate spectra. Then, the onedimensional distributions of the clusters centers obtained by FCM, are composed in the t...

This paper proposes an automatic system which can perform the entire diagnostic process from the extraction of the liver to the recognition of a tumor. In particular, the proposed technique uses shape information to identify and recognize a lesion adjacent to the border of the liver, which can otherwise be missed. In addition, since the intensity of a lesion can vary greatly according to the pa...

Automatic segmentation and detection of brain tumor is a notoriously complicated issue in Magnetic Resonance Image. The similar state-of-art segmentation methods and techniques are limited for the detection of tumor in multimodal brain MRI. Thus this work deals about the accurate segmentation and detection of tumor in multimodal brain MRI and this research work is focused to improve automatic s...

Unsupervised change detection using fuzzy cmeans and MRF from remotely sensed images Ming Hao, Hua Zhang, Wenzhong Shi & Kazhong Deng To cite this article: Ming Hao, Hua Zhang, Wenzhong Shi & Kazhong Deng (2013) Unsupervised change detection using fuzzy c-means and MRF from remotely sensed images, Remote Sensing Letters, 4:12, 1185-1194, DOI: 10.1080/2150704X.2013.858841 To link to this article...