Since it was first proposed, it is amazing to notice how K-Means algorithm has survive over
the years. It has been one among the well known algorithms for data clustering in the field of …

Data clustering is one of the major areas in data mining. The bisecting clustering algorithm is
one of the most widely used for high dimensional dataset. But its performance degrades as …

Real world applications are increasingly growing in the field of science and engineering,
where data mining is an important stage to relate research and applications. Data objects …

Data clustering is one of the major areas of research in data mining. Of late, high
dimensionality dataset is becoming popular because of the generation of huge volumes of …

The emerging technologies and data centric applications have been becoming an integral
part of business intelligence, decision process and numerous daily activities. To enable …

Pattern classification and data clustering has emerged as a potential mechanism that
classifies data elements based on respective feature homogeneity. Although K-Means …

Clustering is the task of finding natural partitioning within a data set such that data items
within the same group are more similar than those within different groups. The performance …

The process which was used for grouping the similar elements or occurring closely is called
cluster. Nowadays cluster analysis is one of the major data analysis techniques. On the …

The task of clustering is to group the data items that are similar into different clusters in such
a way that the similarity within each cluster is high and the dissimilarity between the clusters …

Because of the massive increase for streams available and being produced, the areas of
data mining and machine learning have become increasingly popular. This takes place as …