Inductive Model of Data Clustering Based on the Agglomerative Hierarchical Algorithm

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44555601%3A13440%2F16%3A43887714" target="_blank" >RIV/44555601:13440/16:43887714 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—

Result language
angličtina
Original language name
Inductive Model of Data Clustering Based on the Agglomerative Hierarchical Algorithm
Original language description
Model of data clustering system based on the complex use of agglomerative hierarchical algorithm and inductive modeling methods of complex systems is presented in the paper. The quality of clustering is evaluated by two equal power subsets with the use of complex balance criterion, which takes into account both the displacement the mass centers of the appropriate clusters of different subsets and distribution of objects in the appropriate clusters relative to the mass center. Evaluating the effectiveness of the proposed model was performed using data sets containing clusters of different shapes. Charts of the external and internal complex criterion values against clustering level were created, which allows to determine the optimal clustering of a data set.
Czech name
—
Czech description
—

Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
PROCEEDINGS OF THE 2016 IEEE FIRST INTERNATIONAL CONFERENCE ON DATA STREAM MINING & PROCESSING (DSMP)
ISBN
978-1-5090-3736-0
ISSN
—
e-ISSN
—
Number of pages
4
Pages from-to
19-22
Publisher name
IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Place of publication
Lviv
Event location
Lviv, Ukraine
Event date
Aug 23, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000390239100002

Similar results(10)