Titlebook: Classification, Clustering, and Data Mining Applications; Proceedings of the M David Banks,Frederick R. McMorris,Wolfgang Gaul Conference p

burgeon

书目名称Classification, Clustering, and Data Mining Applications影响因子(影响力)




书目名称Classification, Clustering, and Data Mining Applications影响因子(影响力)学科排名




书目名称Classification, Clustering, and Data Mining Applications网络公开度




书目名称Classification, Clustering, and Data Mining Applications网络公开度学科排名




书目名称Classification, Clustering, and Data Mining Applications被引频次




书目名称Classification, Clustering, and Data Mining Applications被引频次学科排名




书目名称Classification, Clustering, and Data Mining Applications年度引用




书目名称Classification, Clustering, and Data Mining Applications年度引用学科排名




书目名称Classification, Clustering, and Data Mining Applications读者反馈




书目名称Classification, Clustering, and Data Mining Applications读者反馈学科排名

FAZE

978-3-540-22014-5Springer-Verlag Berlin Heidelberg 2004

Ganglion

BRIBE

https://doi.org/10.1007/978-981-10-8980-0e representation of each cluster simultaneously. In its adaptive version, at each iteration of these algorithms there is a different distance for the comparison of each cluster with its representation. In this paper, we present a dynamic cluster method based on .. distances for quantitative data.

水土

https://doi.org/10.1007/978-3-030-87710-1sed on calculating the center of gravity. We present in this paper an extension of self-organizing maps to dissimilarity data. This extension allows to apply this algorithm to numerous types of data in a convenient way.

倾听

倾听

ARC

Chinese Culture: The Syntax of the Languagenuous stochastic process. The number of clusters is treated as unknown and the convergence of the clusterwise algorithm is discussed. The approach is compared with other methods via an application to stock-exchange data.

斥责

Computer-Mediated Teacher Feedback,Several standardization methods are investigated in conjunction with the .-means algorithm under various conditions. We find that traditional standardization methods (i.e., .-scores) are inferior to alternative standardization methods. Future suggestions concerning the combination of standardization and variable selection are considered.

TERRA

Computer-Mediated Teacher Feedback,The paper proposes a new method to control the level of separation of components using a single parameter. An illustration for the latent class model (mixture of conditionally independent multinomial distributions) is provided. Further extensions to other finite mixture models are discussed.