Hello, I have some data generated by a simple mixture of Gaussians (more like K-means) and (as a test) am using dmnorm to calculate the probability of each data point coming from each Gaussian. However, I get only zero probabilities.
This code works in low dimensions (tried 2 and 3 already). I have run into many implementations that do not work in high dimension, but I thought that I was safe with dmnorm because it has an option to compute the log of the probability. So, is dmnorm not intended to be used with data of such high dimensionality? Thank you, dan elliott ______________________________________________ [email protected] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
