Cluster analysis or clustering is the task of grouping a set of objects in such a way that
objects in the same group (called a cluster) are more similar (in some sense or another) to …

Clustering is an exploratory data analysis tool that has gained enormous attention in the
recent years specifically for gene expression data analysis. The K-means clustering is a …

Data Mining is the technique used to visualize and scrutinize the data and drive some useful
information from that data so that information can be used to perform any useful work. So …

Data clustering is one of the common techniques used in data mining. A popular
performance function for measuring goodness of data clustering is the total within-cluster …

The k-Means clustering algorithm is an old algorithm that has been intensely researched
owing to its ease and simplicity of implementation. Clustering algorithm has a broad …

K-means is an effective clustering technique used to separate similar data into groups based
on initial centroids of clusters. In this paper, Normalization based K-means clustering …

In this paper, the effect of the initial clustering center selection on the performance of the K-
means algorithm is studied, and the performance of the algorithm is enhanced through …

This research is the first step in building an efficient Decision Support System (DSS) which
employs Data Mining (DM) predictive, classification, clustering, and association rules …

Advances in recent techniques for scientific data collection in the era of big data allow for the
systematic accumulation of large quantities of data at various data-capturing sites. Similarly …