Towards the Construction of a Clustering Algorithm withOverlap Directed by Query

Abstract

Clustering algorithms are one of the most important element for the data mining and for the automatic learning, also, they keep on being a research topic because algorithms have some limitations. In addition, most of algorithms do not bear overlaps of the groups that they generate, however, in some problems like user profile, clustering algorithms are required for  bearing overlaps.
Therefore, it pretends to develop an overlapping clustering algorithm using different information retrieval techniques in big data quantities and avoiding computational costs.