The RANSAC algorithm is one approach to what you're looking for if I understand you right. http://en.wikipedia.org/wiki/RANSAC
Ray Hidayat
2009-04-05 12:37:16
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You might use the term "outlier" in your searches. An outlier is a particular point of data that represents either a special condition not captured in the experiment design, or a statistical fluke (a point grabbed from the exstreams of the distribution in a data set too small to expect that too happen).
Outlier elimination carries some risk of biasing the result by your expectation.
dmckee
2009-04-05 13:54:44
I may not have presented this clearly... I know that it appears that this might introduce bias but that occurs only of I am eliminating valid data points. In my experimental setup, the outliers occur exclusively because from bad cells (this is a biological exp.) and so I need them eliminated
Aashay
2009-04-06 03:57:17
I wasn't asaying "Don't do it." Outlier elimination isn't necessarily bad: it is an accepted part of data analysis. Just be aware that it carries some risk. The usual mitigation is thrash the outlier in search of unexpected patterns...
dmckee
2009-04-06 04:24:06
thnx... will keep in mind
Aashay
2009-04-06 06:58:39