Relation To Other Statistical Machine Learning Algorithms
k-means clustering, and its associated expectation-maximization algorithm, is a special case of a Gaussian mixture model, specifically, the limit of taking all covariances as diagonal, equal, and small. It is often easy to generalize a k-means problem into a Gaussian mixture model.
Read more about this topic: K-means Clustering
Famous quotes containing the words relation to, relation, machine and/or learning:
“... a worker was seldom so much annoyed by what he got as by what he got in relation to his fellow workers.”
—Mary Barnett Gilson (1877–?)
“Concord is just as idiotic as ever in relation to the spirits and their knockings. Most people here believe in a spiritual world ... in spirits which the very bullfrogs in our meadows would blackball. Their evil genius is seeing how low it can degrade them. The hooting of owls, the croaking of frogs, is celestial wisdom in comparison.”
—Henry David Thoreau (1817–1862)
“The American people is out to get the kaiser. We are bending every nerve and every energy towards that end; anybody who gets in the way of the great machine the energy and devotion of a hundred million patriots is building towards the stainless purpose of saving civilization from the Huns will be mashed like a fly. I’m surprised that a collegebred man like you hasn’t more sense. Don’t monkey with the buzzsaw.”
—John Dos Passos (1896–1970)
“...I didn’t consider intellectuals intelligent, I never liked them or their thoughts about life. I defined them as people who care nothing for argument, who are interested only in information; or as people who have a preference for learning things rather than experiencing them. They have opinions but no point of view.... Their talk is the gloomiest type of human discourse I know.... This is a red flag to my nature. Intellectuals, to me have no natures ...”
—Margaret Anderson (1886–1973)