Logo
Unionpedia
Communication
Get it on Google Play
New! Download Unionpedia on your Android™ device!
Install
Faster access than browser!
 

T-distributed stochastic neighbor embedding

Index T-distributed stochastic neighbor embedding

T-distributed Stochastic Neighbor Embedding (t-SNE) is a machine learning algorithm for visualization developed by Laurens van der Maaten and Geoffrey Hinton. [1]

9 relations: Deeplearning4j, Dimensionality reduction, HeuristicLab, Nonlinear dimensionality reduction, Outline of machine learning, Perturb-seq, Single-cell transcriptomics, Tag cloud, Word embedding.

Deeplearning4j

Eclipse Deeplearning4j is a deep learning programming library written for Java and the Java virtual machine (JVM) and a computing framework with wide support for deep learning algorithms.

New!!: T-distributed stochastic neighbor embedding and Deeplearning4j · See more »

Dimensionality reduction

In statistics, machine learning, and information theory, dimensionality reduction or dimension reduction is the process of reducing the number of random variables under consideration by obtaining a set of principal variables.

New!!: T-distributed stochastic neighbor embedding and Dimensionality reduction · See more »

HeuristicLab

HeuristicLab is a software environment for heuristic and evolutionary algorithms, developed by members of the at the.

New!!: T-distributed stochastic neighbor embedding and HeuristicLab · See more »

Nonlinear dimensionality reduction

High-dimensional data, meaning data that requires more than two or three dimensions to represent, can be difficult to interpret.

New!!: T-distributed stochastic neighbor embedding and Nonlinear dimensionality reduction · See more »

Outline of machine learning

The following outline is provided as an overview of and topical guide to machine learning: Machine learning – subfield of computer sciencehttp://www.britannica.com/EBchecked/topic/1116194/machine-learning (more particularly soft computing) that evolved from the study of pattern recognition and computational learning theory in artificial intelligence.

New!!: T-distributed stochastic neighbor embedding and Outline of machine learning · See more »

Perturb-seq

Perturb-seq (also known as CRISP-seq and CROP-seq) refers to a high-throughput method of performing single cell RNA sequencing (scRNA-seq) on pooled genetic perturbation screens.

New!!: T-distributed stochastic neighbor embedding and Perturb-seq · See more »

Single-cell transcriptomics

Single-cell transcriptomics examines the gene expression level of individual cells in a given population by simultaneously measuring the messenger RNA (mRNA) concentration of hundreds to thousands of genes.

New!!: T-distributed stochastic neighbor embedding and Single-cell transcriptomics · See more »

Tag cloud

A tag cloud (word cloud, or weighted list in visual design) is a novelty visual representation of text data, typically used to depict keyword metadata (tags) on websites, or to visualize free form text.

New!!: T-distributed stochastic neighbor embedding and Tag cloud · See more »

Word embedding

Word embedding is the collective name for a set of language modeling and feature learning techniques in natural language processing (NLP) where words or phrases from the vocabulary are mapped to vectors of real numbers.

New!!: T-distributed stochastic neighbor embedding and Word embedding · See more »

Redirects here:

T-Distributed Stochastic Neighbor Embedding, T-Distributed Stochastic Neighbour Embedding, T-SNE.

References

[1] https://en.wikipedia.org/wiki/T-distributed_stochastic_neighbor_embedding

OutgoingIncoming
Hey! We are on Facebook now! »