Hello all,
I'm using "hpclus" process for clustering but I don't know "B", in this process, stands for what? And how should I set this value? I could just find that this number represents the number of Monte Carlo draws but I don't which value of this parameter is the best one for my analysis. I put part of my code here:
proc hpclus
data=ios
maxclusters=8
maxiter=100
seed=54321
NOC=ABC(B=25 minclusters=3 align=PCA);
score out=outscore;
input Dos Execute_Code Overflow Obtain_Information Gain_Previledges Bypass_a_Restriction Directory_Traversal Cross_Site_Scripting CSRF Memory_Curruption;
id cve_id;
ods output ABCStats=ABC;
run;
Thank you!
Yazdan
First stop is the docs.
B=number
specifies the number of reference data sets to be created for each cluster candidate. By default, B=1.
It explains more in the links in the documentation.
First stop is the docs.
B=number
specifies the number of reference data sets to be created for each cluster candidate. By default, B=1.
It explains more in the links in the documentation.
Build your skills. Make connections. Enjoy creative freedom. Maybe change the world. Registration is now open through August 30th. Visit the SAS Hackathon homepage.
Register today!Learn the difference between classical and Bayesian statistical approaches and see a few PROC examples to perform Bayesian analysis in this video.
Find more tutorials on the SAS Users YouTube channel.
Select SAS Training centers are offering in-person courses. View upcoming courses for: