SOM Quality Measures available in the Java SOMToolbox
The Java SOMToolbox provides implementations of the following quality measures.
- Entropy Measure
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Intrinsic Distance
S. Kaski and K. Lagus. Comparing Self-Organizing Maps. In Proceedings of the International Conference on Artificial Neural Networks (ICANN '96), Bochum, Germany, July 16-19, pages 809-814, Berlin, 1996. Springer. -
Inversion Measure
S. Zrehen, F. Blayo. A Geometric Organization Measure for Kohonen's Map,, In Proceedings of Neuro-Nimes, 1992, pp 603-610, Nimes/Frankreich -
Multidimensional Scaling.
W.S. Torgerson. Mulitdimensional scaling Theory and method, In Psychometrika 17(4):401-419, Psychometric Society, 1952 - QuantizationError
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Sammon Measure
J.W. Sammon, Jr.. A nonlinear mapping for data structure analysis, In IEEE Transactions on Computers 18(5):401-409, 1969, IEEE Computer Society -
SOM Distortion
J. Lampinen and E. Oja. Clustering properties of Hierarchical Self-Organizing Maps. In Journal of Mathematical Imaging and Vision, 2(2-3):261-272, 1992.
J. Lampinen and T. Kostiainen. Generative Probability Density Model in the Self- Organizing Map. In Self-Organizing Neural Networks: Recent Advances and Applications. Physica-Verlag, Heidelberg, New York, 2002. - Spearman Coefficient J.C. Bezdek, N.R Pal. Index of Topological Preservation for Feature Extraction, In Pattern Recognition 28(3):381-391, Elsevier, 1995.
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Topographic Error
K. Kiviluoto.. Topology preservation in Self-Organizing Maps. In Proceedings of the IEEE International Conference on Artificial Neural Networks (ICANN'96), pages 294-299. Piscataway, New Jersey, USA, June 1996. -
Topographic Product
H. U. Bauer and K. R. Pawelzik. Quantifying the neighborhood preservation of Self-Organizing Feature Maps. In IEEE Transactions on Neural Networks, 3(4):570-579, July 1992. -
Trustworthiness, Neighborhood Preservation
J. Venna and S. Kaski. Neighborhood preservation in nonlinear projection methods. An experimental study. In Proceedings of the Internationla Conference on Artificial Neural Networks (ICANN '01)pages 485-491. Berlin, 2001. Springer