Evaluation framework of hierarchical clustering methods for binary data
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F12%3A00062299" target="_blank" >RIV/00216224:14330/12:00062299 - isvavai.cz</a>
Result on the web
<a href="http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6421371&isnumber=6421298" target="_blank" >http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6421371&isnumber=6421298</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/HIS.2012.6421371" target="_blank" >10.1109/HIS.2012.6421371</a>
Alternative languages
Result language
angličtina
Original language name
Evaluation framework of hierarchical clustering methods for binary data
Original language description
The article aims to evaluate hierarchical clustering methods according to their performance for binary data type. We explore the accuracy of ten hierarchical clustering methods by experimenting with ten different distance measures. The three types of well, poorly and very poorly separated clusters of binary data sets are generated by selecting the appropriate parameters for binomial distribution and Monte Carlo method. In order to evaluate the precision of clustering methods the binary data sets are transformed to distance matrices. The error level each method is explored in relationship to distance measures, cluster types and data distributions. The Complete linkage, Flexible-beta and Ward´s methods have best clustering performance for the case of twowell separated clusters of binary data.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/LA09016" target="_blank" >LA09016: Czech Republic membership in the European Research Consortium for Informatics and Mathematics (ERCIM)</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2012
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of 12th International Conference on Hybrid Intelligent Systems (HIS)
ISBN
9781467351140
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
421-426
Publisher name
IEEE
Place of publication
Pune, India
Event location
Pune, India
Event date
Dec 4, 2012
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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