K-Means Clustering for Problems with Periodic Attributes

0328432 - ÚI 2010 RIV SG eng J - Článek v odborném periodiku
Vejmelka, Martin - Musílek, P. - Paluš, Milan - Pelikán, Emil
K-Means Clustering for Problems with Periodic Attributes.
[Shlukovací algoritmus K-Means v problémech s periodickými atributy.]
International Journal of Pattern Recognition and Artificial Intelligence. Roč. 23, č. 4 (2009), s. 721-743. ISSN 0218-0014. E-ISSN 1793-6381
Grant CEP: GA AV ČR 1ET400300513
GRANT EU: European Commission(XE) 517133 - BRACCIA
Výzkumný záměr: CEZ:AV0Z10300504
Klíčová slova: clustering algorithms * similarity measures * K-means * periodic attributes
Kód oboru RIV: BB - Aplikovaná statistika, operační výzkum
Impakt faktor: 0.512, rok: 2009

Citováno: 5

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--- MAREK, J. - HECKENBERGEROVA, J. Expectation-Maximization Algorithm for Evaluation of Wind Direction Characteristics. 2015 IEEE 15TH INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING (IEEE EEEIC 2015). 2015, p. 1730-1735. [WOS]
--- TOTH, B. - VAD, J. A fuzzy clustering method for periodic data, applied for processing turbomachinery beamforming maps. JOURNAL OF SOUND AND VIBRATION. ISSN 0022-460X, NOV 10 2018, vol. 434, p. 298-313. [WOS]

Trvalý link: http://hdl.handle.net/11104/0174747