SOM quality measures: An efficient statistical approach
Document Type
Conference Proceeding
Date of Original Version
1-1-2016
Abstract
We are interested in practical tools for the quantitative evaluation of selforganizing maps (SOMs). Recently it has been argued that any quality measure for SOMs needs to evaluate the embedding or coverage of a map as well as its topological quality. Over the years many different quality measures for self-organizing maps have been proposed. However, many of these only measure one aspect of a SOM or are computationally very expensive or both. Here we present a novel, computationally efficient statistical approach to the evaluation of SOMs. Our approach measures both the embedding and the topological quality of a SOM.
Publication Title, e.g., Journal
Advances in Intelligent Systems and Computing
Volume
428
Citation/Publisher Attribution
Hamel, Lutz. "SOM quality measures: An efficient statistical approach." Advances in Intelligent Systems and Computing 428, (2016): 49-59. doi: 10.1007/978-3-319-28518-4_4.