An Efficient Dimensionality Reduction Techniques to Data Data Visualization-Reference-Cited by-同舟云学术

An Efficient Dimensionality Reduction Techniques to Data Data Visualization

Published:2024-05-09 Issue: Volume: Page:1-6
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Container-title:2024 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI)
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Author:

Sasikala R.¹,Sakthi P.²,Agalya K.³,Vidhya U.⁴,Karthik M.⁵,Nareshkumar R.⁶

Affiliation:

1. CARE College of Engineering,Department of Artificial Intelligence and Data Science,Trichy

2. SRM Valliammai Engineering College,Department of Information Technology,Chennai,Tamil Nadu,India

3. Sri Eshwar College of Engineering,Department of Computer Science and Engineering,Coimbatore

4. Indra Ganesan College of Engineering,Department Of Information Technology,Tiruchirappalli

5. K.Ramakrishnan College of Engineering, Department of Artificial Intelligence and Data Science, Trichy, Tamilnadu India

6. SRM Institute of Science and Technology,School of Computing, College of Engineering and Technology,Department of Networking and Communications,Kattankulathur,Tamilnadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10601631/10601667/10601723.pdf?arnumber=10601723

Reference14 articles.

1. t-viSNE: Interactive Assessment and Interpretation of t-SNE Projections

2. Visualizing insomnia phenotypes using dimensionality reduction techniques

3. Dimensionality Reduction Techniques for Visualizing Morphometric Data: Comparing Principal Component Analysis to Nonlinear Methods

4. Stress Functions for Unsupervised Dimensionality Reduction

5. Computing mechanical response variability of polycrystalline microstructures through dimensionality reduction techniques