One of the most controversial and emerging applications of microarray-based cancer
research is the identification of the pathology that are canons and genetic pathway …

Sensor nodes can be deployed in harsh or hostile environments in many applications,
making these nodes more prone to failure. The illegal movement monitoring within the …

This article proposes a new optimal data clustering method for finding optimal clusters of
data by incorporating chaotic maps into the standard NOA. NOA, a newly developed …

Clustering, one of the most attractive data analysis concepts in data mining, are frequently
used by many researchers for analysing data of variety of real-world applications. It is stated …

Emails have become one of the popular and flexible web or mobile-based applications that
enables users to communicate. For decades, the most severe problem identified in email …

In data analysis applications for extraction of useful knowledge, clustering plays an
important role. The major shortcoming of traditional clustering algorithms is exhibiting poor …

Cluster analysis, one of the most prominent data analysis concepts in data mining field, is
constantly applied in data analysis. Escaping local optima and obtaining optimal clusters are …

In many applications, the feature selection plays an important role, as best feature can bring
out the accurate results. The features selected must represent the entire dataset. Here we …