Supporting Analysis of Dimensionality Reduction Results with Contrastive Learning
Dimensionality reduction (DR) is frequently used for analyzing and visualizing high-dimensional data as it provides a good first glance of the data. However, to interpret the DR result for gaining useful insights from the data, it would take additional analysis effort such as identifying clusters an...
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Published in | IEEE transactions on visualization and computer graphics Vol. 26; no. 1; pp. 45 - 55 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
United States
IEEE
01.01.2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subjects | |
Online Access | Get full text |
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