This paper presents a comprehensive study on clustering: exiting methods and
developments made at various times. Clustering is defined as an unsupervised learning …

Clustering is a common technique for statistical data analysis, which is used in many fields,
including machine learning, data mining, pattern recognition, image analysis and …

Data Mining is the procedure of extracting information from a data set and transforms
information into comprehensible structure for processing. Clustering is data mining …

Partitioning a set of objects into homogeneous clusters is a fundamental operation in data
mining. The operation is needed in a number of data mining tasks. Clustering or data …

Clustering is one of the most important research areas in the field of data mining. Clustering
means creating groups of objects based on their features in such a way that the objects …

Clustering is a process of keeping similar data into groups. Clustering is an unsupervised
learning technique as every other problem of this kind; it deals with finding a structure in a …

Clustering is an unsupervised learning technique which aims at grouping a set of objects
into clusters so that objects in the same clusters should be similar as possible, whereas …

In the field of data mining, clustering has shown to be an important technique. Numerous
clustering methods have been devised and put into practice, and most of them locate high …

Clustering is an automatic learning technique which aims at grouping a set of objects into
clusters so that objects in the same clusters should be similar as possible, whereas objects …

Clustering is a technique to group the data objects in such a way that the data objects of a
group are similar to each other in that group and dissimilar to the data objects of other …