Visualisation of Cluster Analysis Results
Autor: | Hans-Georg Bartel, Carlos Morales-Merino, Hans-Joachim Mucha |
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Rok vydání: | 2012 |
Předmět: | |
Zdroj: | Classification and Data Mining ISBN: 9783642288937 Classification and Data Mining |
DOI: | 10.1007/978-3-642-28894-4_31 |
Popis: | We present some methods for (multivariate) visualisation of cluster analysis results and cluster validation results. Visualisation is essential for a better understanding of results because it operates at the interface between statisticians and researchers. Without loss of generality, we focus on visualisation of clustering based on pairwise distances. Here, usually one can start with “dimensionless” heatmaps (fingerprints) of proximity matrices. The Excel “Big Grid” spreadsheet is both a distinguished depository for data/proximities and a plotting board for multivariate graphics such as dendrograms, plot-dendrograms, informative dendrograms and discriminant projection plots. Informative dendrograms are ordered binary trees that show additional information such as stability values of the clusters. In this way, graphics can be a very useful and much simpler aid for the reader. |
Databáze: | OpenAIRE |
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