Internal Evaluation Criteria for Categorical Data in Hierarchical Clustering: Optimal Number of Clusters Determination
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61384399%3A31140%2F18%3A00053169" target="_blank" >RIV/61384399:31140/18:00053169 - isvavai.cz</a>
Result on the web
<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067626539&partnerID=40&md5=5c5be181efd7981948d7e10e5040427" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067626539&partnerID=40&md5=5c5be181efd7981948d7e10e5040427</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Internal Evaluation Criteria for Categorical Data in Hierarchical Clustering: Optimal Number of Clusters Determination
Original language description
Main topics of the document: cluster analysis; categorical variables; optimal number of clusters; hierarchical clustering; internal evaluation criteria
Czech name
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
10103 - Statistics and probability
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Metodološki zvezki
ISSN
1854-0023
e-ISSN
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Volume of the periodical
15
Issue of the periodical within the volume
2
Country of publishing house
SI - SLOVENIA
Number of pages
20
Pages from-to
1-20
UT code for WoS article
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EID of the result in the Scopus database
2-s2.0-85067626539