somQuality: Calculate SOM quality measures
In jansodoge/awesom_dev_version: Interactive Self-Organizing Maps
Description
Usage
Arguments
Value
References
Description
Calculate SOM quality measures
Usage
1
somQuality(som, traindat)
Arguments
som
'kohonen' object, a SOM created by the 'kohonen::som' function.
traindat
matrix containing the training data
Value
A list with quality measures : quantization error, share of explained
variance, topographic error and Kaski-Lagus error.
References
Kohonen T. (2001) Self-Organizing Maps, 3rd edition,
Springer Press, Berlin.
Kaski, S. and Lagus, K. (1996) Comparing Self-Organizing Maps. In C. von der
Malsburg, W. von Seelen, J. C. Vorbruggen, and B. Sendho (Eds.)
Proceedings of ICANN96, International Conference on Articial Neural
Networks , Lecture Notes in Computer Science vol. 1112, pp. 809-814.
Springer, Berlin.
jansodoge/awesom_dev_version documentation built on Jan. 26, 2021, 8:53 a.m.
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Description Usage Arguments Value References
Description
Calculate SOM quality measures
Usage
1 | somQuality(som, traindat)
|
Arguments
som |
'kohonen' object, a SOM created by the 'kohonen::som' function. |
traindat |
matrix containing the training data |
Value
A list with quality measures : quantization error, share of explained variance, topographic error and Kaski-Lagus error.
References
Kohonen T. (2001) Self-Organizing Maps, 3rd edition, Springer Press, Berlin.
Kaski, S. and Lagus, K. (1996) Comparing Self-Organizing Maps. In C. von der Malsburg, W. von Seelen, J. C. Vorbruggen, and B. Sendho (Eds.) Proceedings of ICANN96, International Conference on Articial Neural Networks , Lecture Notes in Computer Science vol. 1112, pp. 809-814. Springer, Berlin.
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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