|
gptkbp:instanceOf
|
statistical analysis
|
|
gptkbp:application
|
gptkb:Image_Segmentation
gptkb:Bioinformatics
gptkb:Speech_Recognition
Market Segmentation
|
|
gptkbp:assumes
|
Finite Number of Components
|
|
gptkbp:canBe
|
Unsupervised
Supervised
|
|
gptkbp:componentDistribution
|
Probability Distribution
|
|
gptkbp:example
|
gptkb:Gaussian_Mixture_Model
gptkb:Multinomial_Mixture_Model
gptkb:Poisson_Mixture_Model
|
|
gptkbp:generalizes
|
Single Distribution Model
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Finite Mixture Models
|
|
gptkbp:limitation
|
Overfitting
Identifiability Issues
Model Selection Complexity
|
|
gptkbp:parameter
|
Component Parameters
Mixing Proportion
|
|
gptkbp:parameterEstimationMethod
|
gptkb:Expectation-Maximization_Algorithm
|
|
gptkbp:relatedTo
|
gptkb:Hidden_Markov_Model
gptkb:Dirichlet_Process_Mixture_Model
gptkb:Latent_Variable_Model
|
|
gptkbp:usedFor
|
Classification
Clustering
Density Estimation
|
|
gptkbp:usedIn
|
gptkb:Machine_Learning
Statistics
Data Analysis
|
|
gptkbp:bfsParent
|
gptkb:Springer_Series_in_Statistics
|
|
gptkbp:bfsLayer
|
7
|