clustergram swMATH ID: 6304 Software Authors: Schonlau, Matthias Description: A new graphical tool for cluster analysis, named clustergram, is described. It can be used for the visualization of consecutive hierarchical or non-hierarchical clusterizations with growing number of clusters (e.g., 1 through 10). The clusters are represented by the mean values of some characteristics of the classified objects. The cluster means for consecutive clusterizations are connected by lines (parallelograms) with width proportional to the number of objects which flowed from the preceding cluster to the following. This method is compared to the dendrograms for hierarchical clusterization. An analysis of data on asbestos claims and Thailand landmine data is presented Homepage: http://www.schonlau.net/clustergram.html Related Software: Emmixuskew; ElemStatLearn; mixtools; Stata; Ollie; Hive; TwitIE; WebPIE; YAGO; Hadoop; MapReduce; Silhouettes Cited in: 2 Publications Standard Articles 1 Publication describing the Software, including 1 Publication in zbMATH Year Visualizing non-hierarchical and hierarchical cluster analysis with clustergrams. Zbl 1050.62067Schonlau, Matthias 2004 Cited by 4 Authors 1 Ke, Chenlu 1 Schonlau, Matthias 1 Young, Derek Scott 1 Zeng, Xiaoxue Cited in 2 Serials 1 Computational Statistics 1 Journal of Computational and Graphical Statistics Cited in 1 Field 2 Statistics (62-XX) Citations by Year