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

burgeon

書目名稱Classification, Clustering, and Data Mining Applications影響因子(影響力)




書目名稱Classification, Clustering, and Data Mining Applications影響因子(影響力)學(xué)科排名




書目名稱Classification, Clustering, and Data Mining Applications網(wǎng)絡(luò)公開度




書目名稱Classification, Clustering, and Data Mining Applications網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Classification, Clustering, and Data Mining Applications被引頻次




書目名稱Classification, Clustering, and Data Mining Applications被引頻次學(xué)科排名




書目名稱Classification, Clustering, and Data Mining Applications年度引用




書目名稱Classification, Clustering, and Data Mining Applications年度引用學(xué)科排名




書目名稱Classification, Clustering, and Data Mining Applications讀者反饋




書目名稱Classification, Clustering, and Data Mining Applications讀者反饋學(xué)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.

傾聽

傾聽

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.

斥責(zé)

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.