A comparison of SOM neural network and hierarchical clustering methods

[1]  F. Robles International market entry strategies and performance of United States catalog firms , 1994 .

[2]  Hamid R. Parsaei,et al.  A survey of design methods for manufacturing cells , 1993 .

[3]  Richard G. Mathieu,et al.  A methodology for large-scale R&D planning based on cluster analysis , 1993 .

[4]  James C. Bezdek,et al.  Generalized clustering networks and Kohonen's self-organizing scheme , 1993, IEEE Trans. Neural Networks.

[5]  Paul E. Green,et al.  A Computational Study of Replicated Clustering with an Application to Market Segmentation , 1991 .

[6]  Cecil C. Bozarth,et al.  Factory focus: Segmenting markets from an operations perspective , 1991 .

[7]  Jorma Laaksonen,et al.  Variants of self-organizing maps , 1990, International 1989 Joint Conference on Neural Networks.

[8]  T. Kohonen Adaptive, associative, and self-organizing functions in neural computing. , 1987, Applied optics.

[9]  G. W. Milligan,et al.  An algorithm for generating artificial test clusters , 1985 .

[10]  G. W. Milligan,et al.  An examination of the effect of six types of error perturbation on fifteen clustering algorithms , 1980 .

[11]  H. Crowder,et al.  Cluster Analysis: An Application of Lagrangian Relaxation , 1979 .

[12]  Michael R. Anderberg,et al.  Cluster Analysis for Applications , 1973 .

[13]  M. Rao Cluster Analysis and Mathematical Programming , 1971 .

[14]  C. Chandra,et al.  Clustering effectiveness of permutation generation heuristics for machine-part matrix clustering , 1993 .

[15]  G. Giuliano,et al.  SUBCENTERS IN THE LOS ANGELES REGION , 1991 .

[16]  Teuvo Kohonen,et al.  Self-Organization and Associative Memory , 1988 .