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Unsupervised NN and graph matching approach to compare data sets | IEEE Conference Publication | IEEE Xplore

Unsupervised NN and graph matching approach to compare data sets


Abstract:

We describe a technique to compare two data partitions of two different data sets as frequently occurs in defect detection. The comparison is obtained dividing each data ...Show More

Abstract:

We describe a technique to compare two data partitions of two different data sets as frequently occurs in defect detection. The comparison is obtained dividing each data set in partitions by means of an unsupervised neural network and associating an undirected complete weighted graph structure to these partitions. Then, a graph matching operation returns an estimation of the level of similarity between the data sets.
Date of Conference: 25-29 July 2004
Date Added to IEEE Xplore: 17 January 2005
Print ISBN:0-7803-8359-1
Print ISSN: 1098-7576
Conference Location: Budapest, Hungary

References

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