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Implementation of the objective clustering inductive technology based on DBSCAN clustering algorithm

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44555601%3A13440%2F17%3A43893057" target="_blank" >RIV/44555601:13440/17:43893057 - isvavai.cz</a>

  • Result on the web

    <a href="http://ieeexplore.ieee.org/document/8098832/" target="_blank" >http://ieeexplore.ieee.org/document/8098832/</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/STC-CSIT.2017.8098832" target="_blank" >10.1109/STC-CSIT.2017.8098832</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Implementation of the objective clustering inductive technology based on DBSCAN clustering algorithm

  • Original language description

    The paper presents the results of the research of the clustering algorithm DBSCAN practical implementation within the framework of the objective clustering inductive technology. As experimental, the data Aggregation and Compound of the Computing school of the East Finland University and the gene expression sequences of lung cancer patients of the database ArrayExpres were used. The architecture of the objective clustering model has been developed. The implementation of the model involves the parallel data clustering on the two equal power subsets, which include the same quantity of pairwise similar objects. The choice of the solution about parameters of the algorithm determination has been carried out based on the minimum value of the external clustering quality criterion, which calculated as normalized difference of the internal clustering quality criteria for the two subsets

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

    N - Vyzkumna aktivita podporovana z neverejnych zdroju

Others

  • Publication year

    2017

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Computer Science and Information Technology, Proceedings of the XII-th International Scientific and Technical Conference

  • ISBN

    978-1-5386-1638-3

  • ISSN

  • e-ISSN

    neuvedeno

  • Number of pages

    5

  • Pages from-to

    479-484

  • Publisher name

    Lviv Polytechnic National University

  • Place of publication

    Lviv

  • Event location

    Lviv, Ukraine

  • Event date

    Sep 5, 2017

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article