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- T-distributed_stochastic_neighbor_embedding abstract "t-distributed stochastic neighbor embedding (t-SNE) is a machine learning algorithm for dimensionality reduction developed by Laurens van der Maaten and Geoffrey Hinton. It is a nonlinear dimensionality reduction technique that is particularly well suited for embedding high-dimensional data into a space of two or three dimensions, which can then be visualized in a scatter plot. Specifically, it models each high-dimensional object by a two- or three-dimensional point in such a way that similar objects are modeled by nearby points and dissimilar objects are modeled by distant points.The t-SNE algorithm comprises two main stages. First, t-SNE constructs a probability distribution over pairs of high-dimensional objects in such a way that similar objects have a high probability of being picked, whilst dissimilar points have an infinitesimal probability of being picked. Second, t-SNE defines a similar probability distribution over the points in the low-dimensional map, and it minimizes the Kullback–Leibler divergence between the two distributions with respect to the locations of the points in the map. Note that whilst the original algorithm uses the Euclidean distance between objects as the base of its similarity metric, this should be changed as appropriate.t-SNE has been used in a wide range of applications, including computer security research, music analysis, cancer research, and bioinformatics.".
- T-distributed_stochastic_neighbor_embedding wikiPageExternalLink t-SNE.html.
- T-distributed_stochastic_neighbor_embedding wikiPageID "39758474".
- T-distributed_stochastic_neighbor_embedding wikiPageLength "5468".
- T-distributed_stochastic_neighbor_embedding wikiPageOutDegree "21".
- T-distributed_stochastic_neighbor_embedding wikiPageRevisionID "704118742".
- T-distributed_stochastic_neighbor_embedding wikiPageWikiLink Binary_search_algorithm.
- T-distributed_stochastic_neighbor_embedding wikiPageWikiLink Bioinformatics.
- T-distributed_stochastic_neighbor_embedding wikiPageWikiLink Cancer_research.
- T-distributed_stochastic_neighbor_embedding wikiPageWikiLink Category:Machine_learning_algorithms.
- T-distributed_stochastic_neighbor_embedding wikiPageWikiLink Computer_security.
- T-distributed_stochastic_neighbor_embedding wikiPageWikiLink Density.
- T-distributed_stochastic_neighbor_embedding wikiPageWikiLink Dimensionality_reduction.
- T-distributed_stochastic_neighbor_embedding wikiPageWikiLink Euclidean_distance.
- T-distributed_stochastic_neighbor_embedding wikiPageWikiLink Gaussian_function.
- T-distributed_stochastic_neighbor_embedding wikiPageWikiLink Geoffrey_Hinton.
- T-distributed_stochastic_neighbor_embedding wikiPageWikiLink Gradient_descent.
- T-distributed_stochastic_neighbor_embedding wikiPageWikiLink Infinitesimal.
- T-distributed_stochastic_neighbor_embedding wikiPageWikiLink Kullback–Leibler_divergence.
- T-distributed_stochastic_neighbor_embedding wikiPageWikiLink Laurens_van_der_Maaten.
- T-distributed_stochastic_neighbor_embedding wikiPageWikiLink Machine_learning.
- T-distributed_stochastic_neighbor_embedding wikiPageWikiLink Musical_analysis.
- T-distributed_stochastic_neighbor_embedding wikiPageWikiLink Nonlinear_dimensionality_reduction.
- T-distributed_stochastic_neighbor_embedding wikiPageWikiLink Perplexity.
- T-distributed_stochastic_neighbor_embedding wikiPageWikiLink Probability_distribution.
- T-distributed_stochastic_neighbor_embedding wikiPageWikiLink Students_t-distribution.
- T-distributed_stochastic_neighbor_embedding wikiPageWikiLinkText "T-distributed stochastic neighbor embedding".
- T-distributed_stochastic_neighbor_embedding wikiPageWikiLinkText "t-SNE".
- T-distributed_stochastic_neighbor_embedding wikiPageWikiLinkText "t-distributed stochastic neighbor embedding".
- T-distributed_stochastic_neighbor_embedding wikiPageUsesTemplate Template:Lower_case_title.
- T-distributed_stochastic_neighbor_embedding wikiPageUsesTemplate Template:Machine_learning_bar.
- T-distributed_stochastic_neighbor_embedding wikiPageUsesTemplate Template:Reflist.
- T-distributed_stochastic_neighbor_embedding subject Category:Machine_learning_algorithms.
- T-distributed_stochastic_neighbor_embedding hypernym Machine.
- T-distributed_stochastic_neighbor_embedding type Software.
- T-distributed_stochastic_neighbor_embedding comment "t-distributed stochastic neighbor embedding (t-SNE) is a machine learning algorithm for dimensionality reduction developed by Laurens van der Maaten and Geoffrey Hinton. It is a nonlinear dimensionality reduction technique that is particularly well suited for embedding high-dimensional data into a space of two or three dimensions, which can then be visualized in a scatter plot.".
- T-distributed_stochastic_neighbor_embedding label "T-distributed stochastic neighbor embedding".
- T-distributed_stochastic_neighbor_embedding sameAs Q18387205.
- T-distributed_stochastic_neighbor_embedding sameAs T-SNE.
- T-distributed_stochastic_neighbor_embedding sameAs m.0w32q7h.
- T-distributed_stochastic_neighbor_embedding sameAs Q18387205.
- T-distributed_stochastic_neighbor_embedding wasDerivedFrom T-distributed_stochastic_neighbor_embedding?oldid=704118742.
- T-distributed_stochastic_neighbor_embedding isPrimaryTopicOf T-distributed_stochastic_neighbor_embedding.