Gaussian Kernel Fuzzy C-Means Algorithm for Service Resource Allocation

Gaussian Kernel Based Fuzzy C-means Clustering Algorithm for Image Segmentation

Image processing is an important research area in computer vision. clustering is an unsupervised study. clustering can also be used for image segmentation. there exist so many methods for image segmentation. image segmentation plays an important role in image analysis.it is one of the first and the most important tasks in image analysis and computer vision. this proposed system presents a varia...

A Gaussian kernel-based fuzzy c-means algorithm with a spatial bias correction

Article history: Received 13 September 2006 Received in revised form 28 February 2008 Available online 9 May 2008 Communicated by A.M. Alimi

Incremental Kernel Fuzzy c-Means

The size of everyday data sets is outpacing the capability of computational hardware to analyze these data sets. Social networking and mobile computing alone are producing data sets that are growing by terabytes every day. Because these data often cannot be loaded into a computer’s working memory, most literal algorithms (algorithms that require access to the full data set) cannot be used. One ...

Fuzzy C-Means Algorithm with Divergence-Based Kernel

A Fuzzy Neural Network and Multiple Kernel Fuzzy C-means Algorithm for Secured Intrusion Detection System

An Intrusion Detection System (IDS) is a security layer used to detect constant intrusive behavior in information systems. Many intrusion detection systems have been proposed based on the various data mining approaches such as decision tree, clustering, etc. Although the intrusion detection system is efficient way to find the attacks in the system, existing ones have some disadvantages which af...