Publication date: 14th September 2021
Conventionally, the color of any light source is defined by the chromaticity index. Given the recent developments in Quantum Dot light emitting diodes and Organic light emitting diodes, more precision is to be required when defining the color parameters if these products. As such we implement two of the Machine learning dimensionality reduction techniques; Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) to explore their potential as a new method of describing the color parameters of modern state of art light sources. We demonstrate that the principal component analysis offers a new approach toward describing color of modern light sources.
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