In the field of data mining, clustering is a technique where millions of data points are
grouped together to form a cluster. Data of same class are grouped together. K-Means …

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 …

In k-means clustering algorithm, the number of centroids is equal to the number of the
clusters in which data has to be partitioned which in turn is taken as an input parameter. The …

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 …

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 grouping together of similar data items into clusters. Clustering analysis is
one of the main analytical methods in data mining; the method of clustering algorithm will …

Study of this paper describes the behavior of K-means algorithm. Through this paper we
have try to overcome the limitations of K-means algorithm by proposed algorithm. Basically …

Emergence of modern techniques for scientific data collection has resulted in large scale
accumulation of data pertaining to diverse fields. Conventional database querying methods …

K-means clustering algorithm clusters datasets according to the certain clustering number k.
However, k cannot be confirmed beforehand. A new clustering validity index was designed …