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K-Means Clustering for Problems with Periodic Attributes

  1. 1.
    Vejmelka, Martin - Musílek, P. - Paluš, Milan - Pelikán, Emil
    K-Means Clustering for Problems with Periodic Attributes.
    International Journal of Pattern Recognition and Artificial Intelligence. Roč. 23, č. 4 (2009), s. 721-743. ISSN 0218-0014. E-ISSN 1793-6381
    Impact factor: 0.512, year: 2009
    http://hdl.handle.net/11104/0174747

    Cited: 5

    --- LIU, Y.L. - OUYANG, Y.X. - XIONG, Z. INCREMENTAL CLUSTERING USING INFORMATION BOTTLENECK THEORY. INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE. ISSN 0218-0014, AUG 2011, vol. 25, no. 5, p. 695-712. [WOS]
    --- PANG, Y.W. - LU, X. - YUAN, Y. - LI, X.L. TRAVELOGUE ENRICHING AND SCENIC SPOT OVERVIEW BASED ON TEXTUAL AND VISUAL TOPIC MODELS. INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE. ISSN 0218-0014, MAY 2011, vol. 25, no. 3, p. 373-390. [WOS]
    --- MITCHELL, H.B. Color Image Spaces. IMAGE FUSION: THEORIES, TECHNIQUES AND APPLICATIONS. 2010, p. 195-204. [WOS]
    --- 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]
Number of the records: 1  

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