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 …

In this paper, we describe an essential problem in data clustering and present some
solutions for it. We investigated using distance measures other than Euclidean type for …

The power of k-means algorithm is due to its computational efficiency and the nature of ease
at which it can be used. Distance metrics are used to find similar data objects that lead to …

Clustering plays a vital role in the various areas of research like Data Mining, Image
Retrieval, Bio-computing and many a lot. Distance measure plays an important role in …

Clustering is a technique of grouping data with analogous data content. In recent years,
Density based clustering algorithms especially SNN clustering approach has gained high …

Unsupervised learning is the process to partition the given data set into number of clusters
where similar data objects belongs same cluster and dissimilar data objects belongs to …

K-means algorithm is a very popular clustering algorithm which is famous for its simplicity.
Distance measure plays a very important rule on the performance of this algorithm. We have …

Clustering is one kind of unsupervised learning methods. K-mediods is one of the
partitioning clustering algorithms and it is also a distance based clustering. Distance …

Distance measures play an important role in cluster analysis. There is no single distance
measure that best fits for all types of the clustering problems. So, it is important to find set of …

Data mining is a process of finding useful information from large database. Clustering is a
process of grouping the same characteristics elements in one group (cluster) and while …