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Estimation of the inductive model od objects clustering stability based on the K-means algorithm for different levels of data noise

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44555601%3A13440%2F16%3A43888048" target="_blank" >RIV/44555601:13440/16:43888048 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.15588/1607-3274-2016-4-7" target="_blank" >http://dx.doi.org/10.15588/1607-3274-2016-4-7</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.15588/1607-3274-2016-4-7" target="_blank" >10.15588/1607-3274-2016-4-7</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Estimation of the inductive model od objects clustering stability based on the K-means algorithm for different levels of data noise

  • Original language description

    The inductive model of the objective clustering of objects based on the k-means algorithm clustering is presented in the paper. The algorithm for division of initial data into two equal power subsets is proposed and practically implemented. The difference between the mass centres of the appropriate clusters in different clustering is proposed to use as an external balance criterion. Approbation of the proposed model operation was carried out using the data &quot;Compound&quot; and &quot;Aggregation&quot; of the database of the Computing School in the Eastern Finland University. The researches on the estimation of the model stability to a noise component using the data &quot;Seeds&quot; are presented in the paper. The algorithms k-means, c-means, inductive k-means and agglomerative hierarchical algorithm were used to compare the results of the experiment. The ways of further improvement of the proposed model in order to increase the objectivity of investigated data clustering were defined by the results of the simulation

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>ost</sub> - Miscellaneous article in a specialist periodical

  • 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

    2016

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Radio Electronics, Computer Science, Control

  • ISSN

    1607-3274

  • e-ISSN

  • Volume of the periodical

    2016

  • Issue of the periodical within the volume

    ?4(39)

  • Country of publishing house

    UA - UKRAINE

  • Number of pages

    7

  • Pages from-to

    54-60

  • UT code for WoS article

    000393190800007

  • EID of the result in the Scopus database