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
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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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
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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
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