Abstract
Clustering is the division of data into groups of similar objects. In clustering, some details are disregarded in exchange for data
simplification. Clustering can be viewed as a data modeling technique that provides for concise summaries of the data. Clustering
is therefore related to many disciplines and plays an important role in a broad range of applications. The applications of
clustering usually deal with large datasets and data with many attributes. Exploration of such data is a subject of data mining.
This survey concentrates on clustering algorithms from a data mining perspective.
Users
Please
log in to take part in the discussion (add own reviews or comments).