[R] Need help with output of Proximus algorithm

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:

Re: [R] Need help with use of ROCK algorithm in R for binary data

e: ABC - cluster 1, DEF - cluster NA. What is means with "NA"? So >> these objects (ABC, DEF) are the most similar. I will apply this algorithm on >> next set of data, it includes much more objects... I will have question about >> Proximus algorithm yet (in next mail), bec

Re: [R] Need help with use of ROCK algorithm in R for binary data

a): > Hi > > see in line > >> -Original Message- >> From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of Matej >> Zuzčák >> Sent: Monday, August 15, 2016 11:23 AM >> To: r-help@r-project.org >> Subject: [R] Need help with use of ROCK algorithm in R

[R] Need help with use of ROCK algorithm in R for binary data

Dear list members, I have one appeal for you. I need use ROCK (RockCluster) algorithm for binary data in R. My binary data looks this: |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