Agglomerative method for texts clustering

6Citations
Citations of this article
2Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Usually, text documents are represented as a vector of n-dimensional Euclidean space. One of the main it the problem of the typology of texts using cluster analysis is to determine the number of clusters. In this article was researched the agglomerative clustering algorithm in Euclidean space. A statistical criterion for completing the clustering process was deriving as the Markov moment. Was considered the problem of cluster stability. As an example, it was considered retrieval of the harmful content.

Cite

CITATION STYLE

APA

Orekhov, A. V. (2019). Agglomerative method for texts clustering. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11551 LNCS, pp. 19–32). Springer Verlag. https://doi.org/10.1007/978-3-030-17705-8_2

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free