title: Analysis of Automatic Clustering of Textual Information Using by Mountain Clustering Method
abstract: Methods of searching and categorizing information become very important in view of the growing volumes of unstructured information in the Internet. One of such methods is cluster analysis, which is presented by a variety of algorithms. This article is devoted to the research and development of heuristic methodic to perform automatic clustering of text information effectively. The proposed solution uses a subtractive clustering algorithm to determine the number of clusters and performs splitting 
journal: Proceedings of 2016 the 6th International Workshop on Computer Science and Engineering