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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 algorithms 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.t-SNE has been used in a wide range of applications, including computer security research, music analysis, cancer research, and bio-informatics.".
- T-Distributed_Stochastic_Neighbor_Embedding wikiPageID "39758474".
- T-Distributed_Stochastic_Neighbor_Embedding wikiPageRevisionID "604784458".
- T-Distributed_Stochastic_Neighbor_Embedding subject Category:Machine_learning_algorithms.
- 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 m.0w32q7h.
- T-Distributed_Stochastic_Neighbor_Embedding wasDerivedFrom T-Distributed_Stochastic_Neighbor_Embedding?oldid=604784458.
- T-Distributed_Stochastic_Neighbor_Embedding isPrimaryTopicOf T-Distributed_Stochastic_Neighbor_Embedding.