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Statistical classification is the problem of identifying the sub-population to which new observations belong, where the identity of the sub-population is unknown, on the basis of a training set of data containing observations whose sub-population is known. Therefore these classifications will show a variable behavior which can be studied by statistics.
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Calculation of Bayeain rule as classifier for mixture Gaussian model
My problem is in understanding the Bayesian rule as a classification. The Bayesian rule is:
$p(c|x) = \frac{p(c)p(x|c)}{\sum_{i=1}^{n}p(c_i)p(x|c_i)}$. … Then, I need to apply a Bayesian rule for classification.
My problem is how to calculate the denominator and nominator? …
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Question about using Bayesian rule as a classification for continuous data set
I am now learning Bayesian classification and I think I understand it in a discrete case. I have trouble understanding it for multivariate continuous data. My problem is in calculating the posterior. …