t-distributed Stochastic Neighbor Embedding

GPTKB entity

Predicate	Object
gptkbp:instanceOf	dimensionality reduction technique
gptkbp:abbreviation	gptkb:t-SNE
gptkbp:application	exploratory data analysis visualization of high-dimensional data
gptkbp:citation	van der Maaten, L., & Hinton, G. (2008). Visualizing Data using t-SNE. Journal of Machine Learning Research, 9, 2579-2605.
gptkbp:field	gptkb:machine_learning gptkb:data_visualization
https://www.w3.org/2000/01/rdf-schema#label	t-distributed Stochastic Neighbor Embedding
gptkbp:implementedIn	gptkb:TensorFlow gptkb:scikit-learn gptkb:Rtsne_(R_package)
gptkbp:input	high-dimensional data
gptkbp:introducedIn	2008
gptkbp:inventedBy	gptkb:Geoffrey_Hinton gptkb:Laurens_van_der_Maaten
gptkbp:limitation	does not preserve global structure computationally intensive for large datasets
gptkbp:output	low-dimensional embedding
gptkbp:parameter	learning rate number of iterations perplexity
gptkbp:reduces	gptkb:Kullback-Leibler_divergence
gptkbp:relatedTo	gptkb:Multidimensional_Scaling gptkb:Uniform_Manifold_Approximation_and_Projection Principal Component Analysis
gptkbp:supportsAlgorithm	nonlinear dimensionality reduction
gptkbp:uses	probability distributions
gptkbp:bfsParent	gptkb:t-SNE
gptkbp:bfsLayer	6