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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