Dynamic clustering for interval data based on L2 distance
作者： Francisco de AT De Carvalho , Paula Brito , Hans-Hermann Bock , None
DOI: 10.1007/S00180-006-0261-Z
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摘要: This paper introduces a partitioning clustering method for objects described by interval data. It follows the dynamic approach and uses L 2 distance. Particular emphasis is put on standardization problem where we propose investigate three techniques interval-type variables. Moreover, various tools cluster interpretation are presented illustrated simulated real-case
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sci-hub.se 参考文章(16)
Allan D. Gordon, An Iterative Relocation Algorithm for Classifying Symbolic Data Data Analysis. pp. 17- 23 ,(2000) , 10.1007/978-3-642-58250-9_2
Hans-Hermann Bock, Visualizing Symbolic Data by Kohonen Maps John Wiley & Sons, Ltd. pp. 205- 234 ,(2008) , 10.1002/9780470723562.CH12
Marie Chavent, Yves Lechevallier, Dynamical Clustering of Interval Data: Optimization of an Adequacy Criterion Based on Hausdorff Distance Classification, Clustering, and Data Analysis. pp. 53- 60 ,(2002) , 10.1007/978-3-642-56181-8_5
E. Diday, Hans Hermann Bock, Analysis of Symbolic Data: Exploratory Methods for Extracting Statistical Information from Complex Data ,(2000)
Monique Noirhomme-Fraiture, Paula Brito, Anne de Baenst-Vandenbroucke, Adolphe Nahimana, Symbolic Data Analysis and the SODAS Software Wiley-Interscience. pp. 81- 92 ,(2008) , 10.1002/9780470723562.CH5
A. K. Jain, M. N. Murty, P. J. Flynn, Data clustering: a review ACM Computing Surveys. ,vol. 31, pp. 264- 323 ,(1999) , 10.1145/331499.331504
M. Ichino, H. Yaguchi, Generalized Minkowski metrics for mixed feature-type data analysis systems man and cybernetics. ,vol. 24, pp. 698- 708 ,(1994) , 10.1109/21.286391
Renata MCR de Souza, Francisco de AT De Carvalho, None, Clustering of interval data based on city-block distances Pattern Recognition Letters. ,vol. 25, pp. 353- 365 ,(2004) , 10.1016/J.PATREC.2003.10.016
H. Ralambondrainy, A conceptual version of the K-means algorithm Pattern Recognition Letters. ,vol. 16, pp. 1147- 1157 ,(1995) , 10.1016/0167-8655(95)00075-R
Takayuki Saito, CIRCLE STRUCTURE DERIVED FROM DECOMPOSITION OF ASYMMETRIC DATA MATRIX Journal of the Japanese Society of Computational Statistics. ,vol. 15, pp. 1- 18 ,(2002) , 10.5183/JJSCS1988.15.1