- #1
verdverm
- 7
- 0
I would like to know how to calculate the probability that a normal distribution generated a sample.
More specifically, I am clustering lines so I have several assumed normal distributions. Each cluster has a mean and variance/StdDev.
of both slope and length.
Given a set of clusters (normal distributions) AND a sample line,
I would like to be able to calculate the probabilities for each cluster.
I think it is something like:
P(L|C_i) = P_len(L.len|C_i) * P_slp(L.slp|C_i)
I don't know how to calculate the two RHS probabilities.
Thanks in advance,
Tony
More specifically, I am clustering lines so I have several assumed normal distributions. Each cluster has a mean and variance/StdDev.
of both slope and length.
Given a set of clusters (normal distributions) AND a sample line,
I would like to be able to calculate the probabilities for each cluster.
I think it is something like:
P(L|C_i) = P_len(L.len|C_i) * P_slp(L.slp|C_i)
I don't know how to calculate the two RHS probabilities.
Thanks in advance,
Tony