Evaluation of visualization algorithms for CommSense system

Jana, Sandip and Mishra, Amit Kumar and Khan, Mohammed Zafar Ali (2022) Evaluation of visualization algorithms for CommSense system. In: 95th IEEE Vehicular Technology Conference - Spring, VTC 2022-Spring, 19 June 2022 through 22 June 2022, Helsinki.

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Abstract

Application specific instrumentation (ASIN) makes use of sensors and AI (SensAI) algorithms for a highly specialized application, using less computational overhead, it can give good performance. This work evaluates the performance of communication based sensing (CommSense) system using Principal Component Analysis (PCA), kernel PCA (KPCA), t-distributed Stochastic Neighbour Embedding (t-SNE) and Uniform Manifold Approximation and Projection (UMAP) algorithms and their quality of projection. In this paper, we have used Earth Mover's Distance (EMD) (also known as 1st Wasserstein Distance (WD)) for assessing the projections and we reach at the conclusion that, in terms of implementation PCA is the best, but for visualization KPCA, t-SNE and UMAP perform better than PCA. © 2022 IEEE.

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IITH Creators:	IITH Creators ORCiD Khan, Mohammed Zafar Ali UNSPECIFIED
Item Type:	Conference or Workshop Item (Paper)
Additional Information:	This work was supported by University Grants Commission (UGC), Govt. of India.
Uncontrolled Keywords:	ASIN; CommSense; Earth Mover's Distance; KPCA; PCA; t-SNE; UMAP; Wasserstein Distance
Subjects:	Electrical Engineering
Divisions:	Department of Electrical Engineering
Depositing User:	. LibTrainee 2021
Date Deposited:	27 Sep 2022 11:50
Last Modified:	27 Sep 2022 11:50
URI:	http://raiithold.iith.ac.in/id/eprint/10724
Publisher URL:	http://doi.org/10.1109/VTC2022-Spring54318.2022.98...
Related URLs:	Author Google Scholar

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