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 "Compound" and "Aggregation" 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 "Seeds" 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
—