Loss-Aware Histogram Binning and Principal Component Analysis for Customer Fleet Analytics
Kunxiong Ling,
Jan Thiele,
Thomas Setzer
Abstract: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. Coarsergrained histogram binning results in less data volume, fewer dimensions, but more information loss. Considering fewer principal components (PCs) results in fewer data dimensions but increased information loss. Although information loss with each step is well understood, little guidance exists on the overall information lo… Show more
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