Is there a way to score new observations based on initial scoring using PROC HPCLUS? I have seen posts on using FASTCLUS, but also interested in using HPCLUS.
Thank you,
Ben
PROC HPCLUS has a CODE statement to save the DATA step score code, so you can use that, then score your new data with it:
proc hpclus...;
/* other statements */
code file="hpclus.sas";
run;
data scored_data;
set data_to_score;
%inc "hpclus.sas";
run;
PROC HPCLUS has a CODE statement to save the DATA step score code, so you can use that, then score your new data with it:
proc hpclus...;
/* other statements */
code file="hpclus.sas";
run;
data scored_data;
set data_to_score;
%inc "hpclus.sas";
run;
Thank you for this excellent tip.
What are your suggestions to determine if a new observation's cluster scoring indicates that an additional cluster is now present compared to the training dataset?
My dataset for training basically contains different platters / surfaces with defects at known locations (x and y).
How can I setup HPCLUS to use the distinct defects on multiple platters for traning?
Thank you,
Ben DeKoven
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