Education of Cluster Analysis Using Matlab.
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28120%2F10%3A63509733" target="_blank" >RIV/70883521:28120/10:63509733 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Education of Cluster Analysis Using Matlab.
Original language description
One of the oppotunities in data mining is a use of clustering analysis. Clustering analysis belongs to unsupervised methods of data mining. We put here a focus on this method. Some basic principles are described in the second part of this paper. This method is examined on two examples from the marketing field. In the first example is used software Statgraphics 5.0Plus to solve clustering problem (nearest neighbour algorithm and Eucleidian distance), and in the second example is used Statistica 6.0Cz software (from Statoft, Inc.).
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
AE - Management, administration and clerical work
OECD FORD branch
—
Result continuities
Project
—
Continuities
V - Vyzkumna aktivita podporovana z jinych verejnych zdroju
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Vyšee Gumanitarnoe Obrazovanie XXI Veka: Problemy i Percpektivy
ISBN
978-5-8428-0768-0
ISSN
—
e-ISSN
—
Number of pages
7
Pages from-to
—
Publisher name
vydavatelství SGPU
Place of publication
Samara, Rusko
Event location
Samara
Event date
Jan 1, 2010
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—