A Probabilistic Distance Clustering Algorithm Using Gaussian and Student-t Multivariate Density Distributions.
Cristina TortoraPaul D. McNicholasFrancesco PalumboPublished in: SN Comput. Sci. (2020)
Keyphrases
- clustering algorithm
- probability density
- mixture distributions
- finite mixtures
- mixed data
- multivariate gaussian
- kullback leibler divergence
- multivariate normal
- multivariate gaussian distribution
- probability measure
- gaussian density
- distance measure
- minimum message length
- covariance matrices
- gaussian distribution
- density function
- arbitrary shape
- probability distribution function
- gaussian mixture
- marginal distributions
- poisson distribution
- gaussian model
- kl divergence
- heavy tailed
- probability distribution
- density estimation
- probabilistic model
- cluster centroids
- normal distribution
- bayesian networks
- generative model
- spectral clustering
- gaussian mixture model
- learning environment
- learning process
- dependence structure
- information theoretic
- high school students
- intelligent tutoring systems
- random variables
- student model
- maximum likelihood
- dense regions
- learning styles
- clustering method
- uncertain data
- kullback leibler distance
- independent and identically distributed
- statistically significant
- regression model
- joint distribution
- distance metric
- probability density function
- class conditional
- graphical models
- student learning
- mixture of gaussians