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Volumn , Issue , 2008, Pages 52-57

Clustering with K-Harmonic means applied to colour image quantization

Author keywords

Colour image quantization, Clustering, K means, K harmonic means, Quality measures

Indexed keywords

AVERAGE ERRORS; COLOUR IMAGE; COLOUR IMAGE QUANTIZATION, CLUSTERING, K-MEANS, K-HARMONIC MEANS, QUALITY MEASURES; COLOUR SPACES; EVALUATION PROCESS; HARMONIC MEAN; K-MEANS TECHNIQUE; NATURAL COLOUR; NOVEL TECHNIQUES; QUANTIZATION ERRORS;

EID: 67649861657     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISSPIT.2008.4775684     Document Type: Conference Paper
Times cited : (11)

References (14)
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  • 4
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  • 5
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    • Color clustering techniques for color-content-based image retrieval from image databases, Proc. of IEEE Int. Conf. on Multimedia Computing and Systems
    • Ottawa, Canada
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    • Wang, J.1    Yang, W.2    Acharya, R.3
  • 6
    • 0031271214 scopus 로고    scopus 로고
    • A comparison of clustering algorithms applied to color image quantization
    • Scheunders, P.: A comparison of clustering algorithms applied to color image quantization,Paff. Rec. Letters, *\ol.lS, 1379-1384, 1997.
    • (1997) Patt. Rec. Letters , vol.18 , pp. 1379-1384
    • Scheunders, P.1
  • 7
    • 0001457509 scopus 로고
    • Some methods for classification and analysis of multivariate observations. In: Le Cam, L.M., Neyman, J./Eds./
    • Mac Queen, J.: Some methods for classification and analysis of multivariate observations. In: Le Cam, L.M., Neyman, J., /Eds./: Proceedings of the Fifth Berkeley Symposium on Mathematics, Statistics, and Probabilities, vol.1, Berkeley and Los Angeles, University of California Press, 281-297, 1967.
    • (1967) Proceedings of the Fifth Berkeley Symposium on Mathematics, Statistics, and Probabilities , vol.18 , pp. 281-297
    • Mac, Q.J.1
  • 9
    • 84862444046 scopus 로고    scopus 로고
    • K-harmonic means - data clustering algorithm
    • Hewlett-Packard Labs, Palo Alto
    • Zhang, B., Hsu, M., Dayal, U.: K-harmonic means - data clustering algorithm. Technical Report HPL-1999-2124, Hewlett-Packard Labs, Palo Alto 1999.
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    • Zhang, B.1    Hsu, M.2    Dayal, U.3
  • 10
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    • Generalized k-harmonic means - boosting in unsupervised learning
    • Hewlett-Packard Labs, Palo Alto
    • Zhang, B.: Generalized k-harmonic means - boosting in unsupervised learning. Technical Report HPL-2000-2137, Hewlett-Packard Labs, Palo Alto 2000.
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  • 13
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    • On color image quantization by the k-means algorithm. In: Droege, D., Paulus, D./Eds./
    • Der Andere Verlag, Toenning, Germany
    • Palus, H.: On color image quantization by the k-means algorithm. In: Droege, D., Paulus, D., /Eds./: 10. Workshop Farbbildverarbeitung, 58-65, Der Andere Verlag, Toenning, Germany 2004.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.