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T-distributed stochastic neighbor embedding

Known as: T-Distributed Stochastic Neighbour Embedding, T-SNE 
t-distributed stochastic neighbor embedding (t-SNE) is a machine learning algorithm for dimensionality reduction developed by Laurens van der Maaten… 
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Related topics

Related topics

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BioinformaticsComputer securityDeeplearning4jDimensionality reduction

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
Identification of Combustion Trajectories Using t-Distributed Stochastic Neighbor Embedding (t-SNE)
With increasing computational power, direct numerical and large eddy simulation (DNS and LES) of reacting flows with complex… 
2019
2019
Blast furnace condition data clustering based on combination of T-distributed stochastic neighbor embedding and spectral clustering
T-distributed stochastic neighbor embedding (t-SNE) dimension reduction technique are combined with Spectral clustering algorithm… 
2019
2019
Detection and classification of structural changes using t-distributed stochastic neighbor embedding
This work states a structural health monitoring strategy for detection and classification of structural changes. The proposed… 
2018
2018
Lecture 8 – t-Distributed Stochastic Neighbor Embedding
Today, we introduce the non-linear dimensionality reduction method t-distributed Stochastic Neighbor Embedding (tSNE), a method… 
2018
2018
Multilingual Semantic Cyberspace of Scientific Papers Based on WebVR Technology
In this paper we describe a cyberspace of scientific papers in which the most cited and significant documents are represented by… 
2018
2018
Deep Neural Maps
We introduce a new unsupervised representation learning and visualization using deep convolutional networks and self organizing… 
2017
2017
Advanced Metering Infrastructure Data Driven Phase Identification in Smart Grid
—Many important distribution network applications, such as load balancing, state-estimation, and network recon-figuration, depend… 
2013
2013
SNE-ISMTV: VESNA wireless sensor node expansion for cognitive radio experiments
This demonstration shows how VESNA wireless sensor nodes can be used for cognitive radio experiments involving wireless sensor… 
2012
2012
THE POWER OF THERMONUCLEAR SUPERNOVAE AFTER ONE YEAR
Type Ia supernovae (SNe Ia), the thermonuclear explosion of a white dwarf, shape our understanding of the expansion of the… 
2010
2010
On the Role and Impact of the Metaparameters in t-distributed Stochastic Neighbor Embedding
Similarity-based embedding is a paradigm that recently gained interest in the field of nonlinear dimensionality reduction. It… 
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