Hello list members, I have question about output of PROXIMUS algorithm. In the example of use here: https://en.wikibooks.org/wiki/Data_Mining_Algorithms_In_R/Clustering/Proximus#Algorithm in Case Study section is all clear, but I do not know what way they use for get clustered words to groups: Group 1 (computers) = {intel, computer, software, linux, windows, Firefox, explorer, programming} Group 2 (authors) = {kuth, shakespeare, grisham, asimov, book} Group 3 (noise) = {love}. How can I get this output for my data please? Next in the example section is graph. How do I read this graph please?
My data are: objects cat1 cat2 cat3 cat4 ... A TRUE FALSE FALSE FALSE B TRUE FALSE TRUE FALSE C TRUE FALSE FALSE FALSE D FALSE TRUE TRUE TRUE E TRUE TRUE TRUE TRUE F TRUE FALSE TRUE FALSE After apply of Proximus algorithm I get this output: > pr <- proximus(x, max.radius=8, debug=TRUE) Non-Zero: 55 Sparsity: 0.48 0 [6,3,5] 1 > 1 [3,3,5] 1 * 1 1 [3,1,0] 1 > 2 [1,1,0] 1 * 2 2 [2,1,0] 1 > 3 [1,1,0] 1 * 3 3 [1,1,0] 1 * 4 2 < 1 < 0 < > summary(pr) Size Length Radius Error Fnorm Jsim Valid 1 3 16 5 0.16 3 0.81 TRUE 2 1 9 0 0.00 0 1.00 TRUE 3 1 4 0 0.00 0 1.00 TRUE 4 1 2 0 0.00 0 1.00 TRUE So it means that 3 objects are in one cluster and all other objects have own cluster. What way I can use for get list of objects in cluster please? And I get this graph (see in attachment). How do I read this graph please? Many thanks for your help! -- Best Regards Matej Zuzcak
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