Visualization of High-Dimensional Data by Pairwise Fusion Matrices Using t-SNE

Visualization of High-Dimensional Data by Pairwise Fusion Matrices Using t-SNE

We applied t-distributed stochastic neighbor embedding (t-SNE) to visualize Urdu handwritten numerals (or digits). The data set used consists of 28 × 28 images of handwritten Urdu numerals. The data set was created by inviting authors from different categories of native Urdu speakers. One...

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Bibliographic Details
Main Authors: Mujtaba Husnain, Malik Muhammad Saad Missen, Shahzad Mumtaz, Muhammad Muzzamil Luqman, Mickaël Coustaty, Jean-Marc Ogier
Format: Article
Language:English
Published: MDPI AG 2019-01-01
Series:Symmetry
Subjects:
dimension reduction
multidimensional information visualization
Euclidean distance
embedding algorithms
pattern classification
Online Access:http://www.mdpi.com/2073-8994/11/1/107

Internet

http://www.mdpi.com/2073-8994/11/1/107

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