hello all I sent an email to you last week. But I'm afraid that I didn't get my answer. It seems that I didn't explain my problem clearly, so I try to send this email again. I'm trying to use HTM to analyse disease data. The data have about 4000 lines, and each line have many columns, the first column represent for diease D, and the rest columns represent for many symptoms S1 S2 S3...Sn. We need do infer what kind of desease D is depending on the symptoms S1 S2 S3...Sn. I think it's same with the process of handwritten digits recognition: first encoding, then spatial pooler, last classification. So I regard one piece of disease data as an image. But I think maybe it is not the best way to process my data. So I want to know are there any better method to process such multifields category? Are there any example that can be used as a reference?
Hoping for your reply. Best regards. yajingfu
