Gaussian Mixtures
Published:
Gaussian Mixtures is a probabilistic latent variable model, that assumes that observed data was generated by sampling from $K$ $d$-dimensional Gaussian distributions.
Published:
Gaussian Mixtures is a probabilistic latent variable model, that assumes that observed data was generated by sampling from $K$ $d$-dimensional Gaussian distributions.
Published:
The K-Means problem is an unsupervised problem, where the task is to group elements into clusters such that elements in the same cluster are similar (for some measure of similarity) and points from different clusters are dissimilar.