Sleeping posture recognition using fuzzy c-means algorithm

Using fuzzy c-means clustering algorithm for common lecturer timetabling among departments

University course timetabling problem is one of the hard problems and it must be done for each term frequently which is an exhausting and time consuming task. The main technique in the presented approach is focused on developing and making the process of timetabling common lecturers among different departments of a university scalable. The aim of this paper is to improve the satisfaction of com...

Pattern Recognition using the Fuzzy c-means Technique

In the field of pattern recognition due to the fundamental involvement of human perception and inadequacy of standard Mathematics to deal with its complex and ambiguously defined system, different fuzzy techniques have been applied as an appropriate alternative. A pattern recognition system has to undergo basically the steps of preprocessing, feature extraction and selection, classifier design ...

Bulgarian Hand-Printed Character Recognition Using Fuzzy C-Means Clustering

Optimizing of Fuzzy C-Means Clustering Algorithm Using GA

Fuzzy C-means Clustering algorithm (FCM) is a method that is frequently used in pattern recognition. It has the advantage of giving good modeling results in many cases, although, it is not capable of specifying the number of clusters by itself. In FCM algorithm most researchers fix weighting exponent (m) to a conventional value of 2 which might not be the appropriate for all applications. Conse...

Text Categorization using the Semi-Supervised Fuzzy c-Means Algorithm

Text Categorization (TC) is the automated assignment of text documents to predefined categories based on document contents. For the past few years, TC has become very important essentially in the Information Retrieval area, where information needs have tremendously increased with the rapid growth of textual information sources such as the Internet. In this paper, we compare , for text categoriz...