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I highly recommend the course notes as a good way to prepare for the exam. In addition to taking the course, I studied through the book twice. The course notes are called Applied Analytics Using SAS Enterprise Miner 5.3, and are available on Amazon, maybe on ebay as well. Before taking the course, I had no prior experience using EM. The course is designed to prepare you for the certification exam. I prepared for it using the course notes for the SAS Education course called Applied Analytics Using SAS Enterprise Miner 5. I'm sure there's more to this, but I'm not educated enough on the subject to comment futher.Įarlier this year I passed the Enterprise Miner certification.
#Sas jmp ebay series
The patterns have to be more obvious than differences in series averages, or other things you don't want to cluster on. and are available on Amazon, maybe on ebay as well. JMPs clustering platform has a Standardize Data option. I know there are other clustering methods, but I didnt try them. So, to make along story short, how do you quantify a pattern across time, so you can cluster series that are similar. I used JMP, and used the default Ward clustering. When I did the clustering, the groups with similar patterns were put together. I then took that same data and made all the means equal. Also, the series that had similar patterns were not grouped, because the means were different. The clustering grouped the series that had similar means, even though the patterns across time were different. And those series that had different patterns across time were given similar means. I then created data with patterns across time, with some series having the same pattern.
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#Sas jmp ebay software
Even with telling the software to standardize the data, the series that had similar means were clustered together. I started by creating several series of data with no pattern across time, but with different averages. That didn't sit right with me, so I created some data to see how it would work. I haven't used PROC Similarity, so I can't comment about the proc.Ī friend of mine told me once he was clustering a number of series according to their measurements across time. By no means am I an expert on the matter.