Abstract
The grouping of data by clustering generally depends on the clustering method used and its specific parameter settings. Therefore, the comparison of results obtained from different clusterings is generally recommended (ensemble clustering). The present study presents a simple and an optimized method for visualizing such results by drawing a two-dimensional color map that associates data with cluster memberships. The methodology is applicable to any unsupervised and supervised classification results.
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Hoffmann, M., Radke, D., Möller, U. (2007). Optimized Alignment and Visualization of Clustering Results. In: Decker, R., Lenz, H.J. (eds) Advances in Data Analysis. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-70981-7_9
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DOI: https://doi.org/10.1007/978-3-540-70981-7_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-70980-0
Online ISBN: 978-3-540-70981-7
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