Thanks to those who already replied! Their replies make me realize I needed to post a few more details.
Here's the problem: I will be dealing with EEG data (brain waves). There will be, for each subject, 19 time series, each with thousands of points (sampling is once per milisecond). We have some old data, which are already classified, but those classes aren't absolutely certain to be correct. There may be some errors, and there may be classes that have not been identified in the literature. We will be getting new data, where the classes will be unknown. We want to look at new data and classify them; we also want to look at all the data (old and new) for anything previous researchers have missed. Any further suggestions will be very welcome Thanks Peter ---------------------------------------------- CLASS-L list. Instructions: http://www.classification-society.org/csna/lists.html#class-l
