MOTIVATION Clustering has been used as a popular technique for finding groups of genes that show similar expression patterns under multiple experimental conditions. Many clustering methods have been proposed for clustering gene-expression data, including the hierarchical clustering, k-means clustering and self-organizing map (SOM). However, the conventional methods are limited to identify diffe...

Clustering is the process of dividing a set of input data into a number of subgroups. The members of each subgroup are similar to each other but different from members of other subgroups. The genetic algorithm has enjoyed many applications in clustering data. One of these applications is the clustering of images. The problem with the earlier methods used in clustering images was in selecting in...

Abstract Moderne Dampfkesselanlagen sollen möglichst lange im Dauerbetrieb ohne Beaufsichtigung laufen können. Die zuverlässige, automatische Überwachung aller kritischen Stellen und Parameter wie Füllstand oder Leitfähigkeit des Kesselwassers gewährleistet das SP

Indonesia is a country that has population density increasing every year, with the increase in density, crime rate increasing. Criminal acts arise because they are supported by factors cause crime. To improve security and welfare of Indonesian people, authors grouped each province based on influence This study uses comparison Fuzzy C-Means Clustering (FCM) Gustafson-Kessel (FGK) methods using v...

G. Brem and L.B.M. van Kessel TNO-MEP P.O.Box 342 7300 AH Apeldoom

Identifying clusters or clustering is an important aspect of data analysis. It is the task of grouping a set of objects in such a way those objects in the same group/cluster are more similar in some sense or another. It is a main task of exploratory data mining, and a common technique for statistical data analysis This paper proposed an improved version of K-Means algorithm, namely Persistent K...

In this paper, monitoring and sensor fault detection in a waste-water treatment process are discussed. Monitoring is based on the Takagi-Sugeno fuzzy model of a plant process obtained by using Gustafson-Kessel fuzzy clustering algorithm.The paper also explains the principle of the Takagi-Sugeno fuzzy model. The main idea is to cope with the non-linearity of a monitored process. The output of th...