A set-theoretic approach to database searching and clustering. | Zendy

A. Krause | Zendy; Martin Vingron | Zendy

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A set-theoretic approach to database searching and clustering.

Author(s) -

A. Krause,

Martin Vingron

Publication year - 1998

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/14.5.430

Subject(s) - cluster analysis , computer science , data mining , set (abstract data type) , database , sequence (biology) , artificial intelligence , genetics , biology , programming language

In this paper, we introduce an iterative method of database searching and apply it to design a database clustering algorithm applicable to an entire protein database. The clustering procedure relies on the quality of the database searching routine and further improves its results based on a set-theoretic analysis of a highly redundant yet efficient to generate cluster system.

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