Talk:Linear discriminant analysis
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changed 'nmachine learning' to statitics -- FLD was invented and used my statisticians a long time before all that ML nonsense!
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That's true, but the wording said that it's currently used (rather than was developed in) the area called machine learning, so it was not an incorrect statement (not that I'm particularly bothered by the change, but a reader looking for related techniques would be better served by being referred to machine learning than to statistics in general).
BTW: I notice two references by H.Abdi have been added by user 129.110.8.39. Looking at this user's other edits, it seems as though a lot of other statistics based articles have been edited to refer to these references, leading me to believe that this is the author trying to publicise his/her books. Is there a wikipedia policy on this situation? My gut reaction would be to remove all of the references he added.
--Tcooke 02:30, 13 October 2006 (UTC)
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A few questions I had while learning about this technique that could be addressed here:
- What is the significance of the word discriminant in this technique?
- What about this technique is linear?
The problem to be solved is the discrimination between two classes of objects/events based on a number of measurements. The discriminant is a single variable which tries to capture all of the discriminating ability of these measurements. In this case, the discriminant function is a linear combination of the measurements.
--Tcooke 12:49, 22 July 2005 (UTC)
