Scientists are nowadays providing great awareness about microarray gene expression dataset. Researches tell that data mining fails to recognize the most important biological associations between genes. Recently biological information mining using clustering techniques were used for the analytical evaluation of gene expression. There are many challenges exist in the existing methods. Optimizatio...

There has been a rapid increase in the volume of digital data over the recent years. Analysis of this data, popularly known as big data, necessitates highly scalable data analysis techniques. Clustering is an exploratory data analysis tool used to discover the underlying groups and structures in the data. Stateof-the-art scalable clustering algorithms assume “linear separability” of the cluster...

One of the main techniques used in data mining is data clustering, which has many applications in computer science, biology, and social sciences. Constrained clustering is a type of clustering in which side information provided by the user is incorporated into current clustering algorithms. One of the well researched constrained clustering algorithms is called microaggregation. In a microaggreg...

0965-9978/$ see front matter 2008 Elsevier Ltd. A doi:10.1016/j.advengsoft.2008.10.006 * Corresponding author. Address: College of Com neering, Hohai University, China. E-mail address: [email protected] (L. H With the rapid development of personalized information retrieval, user profile plays an important role. In this paper, we propose a fuzzy clustering method of construction of ontol...

Transferring the brain computer interface (BCI) from laboratory condition to meet the real world application needs BCI to be applied asynchronously without any time constraint. High level of dynamism in the electroencephalogram (EEG) signal reasons us to look toward evolutionary algorithm (EA). Motivated by these two facts, in this work a hybrid GA-PSO based K-means clustering technique has bee...

A Genetic Algorithm for K-Mean Clustering Varsha Singh Asst. Prof. JSSATE, Noida, Uttar Pradesh, India Prof A K Misra Professor, Deptt of CSE, MNNIT Allahabad, Uttar Pradesh, India _________________________________________________________________________________________ Abstract: Clustering techniques have obtained adequate results when are applied to data mining problems. Clustering is the pro...

Data analysis has become an important field over the last decades. The growing amount of data demands new analytical methodologies in order to extract relevant knowledge. Clustering is one of the most competitive techniques in this context. Using a dataset as a starting point, clustering techniques aim to blindly group the data by similarity. Among the different areas, manifold identification i...