Implemention of the NIPALS (non-linear iterative partial least squares) PCA algorithm
Overview
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Objective
The goal of this project is to implement the NIPALS (non-linear iterative partial least squares) PCA algorithm in Python. The project will include the following steps:
- Read the data file, error check and handling of missing values.
- Convert to a matrix format, remove mean, and scale to unit variance (optional).
- Calculate the PCA model using NIPALS, calculate relevant statistics, save/export results.
Data Exploring Analysis
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Proposed Method
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Results and Discussion
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