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

胶状

infatuation

covert

A Dynamic Cluster Algorithm Based on , , Distances for Quantitative Datae 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.

Exposition

A Self-Organizing Map for Dissimilarity Datased 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.

腐败

Relative Projection Pursuit and its Applicationerent from reference data sets predefined by the user. In addition, as an application of the method, we develop a new dimension reduction method: sliced inverse regression with relative projection pursuit.

领导权

circuit

PLS Approach for Clusterwise Linear Regression on Functional Datanuous 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.

高谈阔论

熟练

雪白