Thesis (Selection of subject)Thesis (Selection of subject)(version: 390)
Thesis details
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Metoda k-průměrů
Thesis title in thesis language (Slovak): Metoda k-průměrů
Thesis title in Czech: Metoda k-průměrů
Thesis title in English: K-means method
Key words: k-priemerov, zhluková analýza, miera podobnosti, obrysový graf
English key words: k-means, cluster analysis, dissimilarity measure, silhouette
Academic year of topic announcement: 2010/2011
Thesis type: Bachelor's thesis
Thesis language: slovenština
Department: Department of Probability and Mathematical Statistics (32-KPMS)
Supervisor: prof. RNDr. Jaromír Antoch, CSc.
Author: hidden - assigned and confirmed by the Study Dept.
Date of registration: 11.03.2011
Date of assignment: 11.03.2011
Date and time of defence: 12.09.2011 00:00
Date of electronic submission:03.08.2011
Date of submission of printed version:04.08.2011
Date of proceeded defence: 12.09.2011
Opponents: RNDr. David Legát, Ph.D.
 
 
 
Guidelines
Cílem práce je popsat metodu k-průměrů a aplikovat ji na reálná data.
References
Alsabti K., Ranka S. a Singh V. An Efficient K-Means Clustering Algorithm. 1997, http://www.cise.ufl.edu/~ranka/

Forgy E., Cluster analysis of multivariate data: Efficiency vs. interpretability of classifications, Biometrics 21:768. 1965.

Řezanková H., Húsek D. a Snášel V., Shluková analýza dat. Professional Publishing, 2009.
 
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