Data pre-processing.

2 次查看(过去 30 天)
Pramod Bhat
Pramod Bhat 2012-4-5
Hai all, I have a set of data taken by extracting texture features. I have to use it for classification. Each feature has 4 classes. But they do not have very good inter-class separation.
if i multiply each element of a class by a constant , and if i repeat it for every class what would be the result ? I tested it once, i found that after this process the inter-class separation was very good. But is it right to do this ?Please help.. Thanks..
  2 个评论
Oleg Komarov
Oleg Komarov 2012-4-5
No idea what you're talking about: http://www.mathworks.com/matlabcentral/answers/6200-tutorial-how-to-ask-a-question-on-answers-and-get-a-fast-answer
Jan
Jan 2012-4-5
I agree that the question is not clear.
According to all I know about classifications in general, the multiplication by a factor cannot increase the separation as long as the uncertainty is not limited by the resolution. This is the idea behind the microskop and the teleskop. If the objects overlap, a multiplication has no positive effect. When the objects don't overlap, the must be a process for separation, which works independent from a common factor of magnification.

请先登录,再进行评论。

回答(0 个)

类别

Help CenterFile Exchange 中查找有关 Classification 的更多信息

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by