Implemention of the NIPALS (non-linear iterative partial least squares) PCA algorithm

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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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