Loss-Aware Histogram Binning and Principal Component Analysis for Customer Fleet Analytics

Loss-Aware Histogram Binning and Principal Component Analysis for Customer Fleet Analytics

We propose a method to estimate information loss when conducting histogram binning and principal component analysis (PCA) sequentially, as usually done in practice for fleet analytics. Coarser-grained histogram binning results in less data volume, fewer dimensions, but more information loss. Conside...

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Bibliographic Details
Main Authors: Kunxiong Ling, Jan Thiele, Thomas Setzer
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Open Journal of Intelligent Transportation Systems
Subjects:
Fleet analytics
histogram
information loss
Monte Carlo
principal component analysis
Online Access:https://ieeexplore.ieee.org/document/10437985/
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https://ieeexplore.ieee.org/document/10437985/

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