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 …

Clustering is the process of grouping the data based on their similar properties. Meanwhile,
it is the categorization of a set of data into similar groups (clusters), and the elements in each …

Data mining is the process of finding structure of data from large data sets. With this process,
the decision makers can make a particular decision for further development of the real-world …

In data mining, Clustering is the most popular, powerful and commonly used unsupervised
learning technique. It is a way of locating similar data objects into clusters based on some …

Clustering analysis is the most significant step in data mining. This paper discusses the k-
means clustering algorithm and various distance functions used in k-means clustering …

Data mining has been defined as" The nontrivial extraction of implicit, previously unknown,
and potentially useful information from data". Clustering is the automated search for group of …

Clustering is the process of grouping similar data into a set of clusters. Cluster analysis is
one of the major data analysis techniques and k-means one of the most popular partitioning …

This paper presents a data clustering approach using modified K-Means algorithm based on
the improvement of the sensitivity of initial center (seed point) of clusters. This algorithm …

Data clustering is the process of grouping data elements based on some aspects of
relationship between the elements in the group Clustering has many applications such as …

There are number of techniques proposed by several researchers to analyze the
performance of clustering algorithms in data mining. All these techniques are not suggesting …