Towards Clustering High-dimensional Gaussian Mixture Clouds in Linear Running Time.
Dan KushnirShirin JalaliIraj SanieePublished in: AISTATS (2019)
Keyphrases
- gaussian mixture
- high dimensional
- mixtures of gaussians
- closed form
- data points
- gaussian mixture model
- density estimation
- em algorithm
- clustering algorithm
- probability density function
- expectation maximization
- high dimensional data
- covariance matrix
- gaussian densities
- probability density
- k means
- mixture model
- low dimensional
- gaussian density
- unsupervised learning
- dimensionality reduction
- maximum likelihood
- kl divergence
- similarity search
- information theoretic
- outlier detection
- object recognition
- data sets