cs-pca 1.0.1

Principal Component Analysis

Install-Package cs-pca -Version 1.0.1
dotnet add package cs-pca --version 1.0.1
<PackageReference Include="cs-pca" Version="1.0.1" />
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paket add cs-pca --version 1.0.1
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cs-pca

Principal Component Analysis implemented in C#

Install

Install-Package cs-pca

Usage

The sample codes below shows how to use the library to reduce the number of dimension or reconstruct the original data from the reduced data:

List<double[]> source = GetNormalizedData();
List<double[]> Z; // PCA output 
double variance_retained;
K = 5; // dimension of the Z (note that Z will have K+1 dimensions where the first dimension will be ignored)
PCA.PCADimReducer.CompressData(source, K, out Z, out variance_retained);

// To reconstruct some compressed data point from Z 
List<double[]> compressed_data_point = GetCompressedDataPoints(); // K+1 dimension data points 
List<double[]> uncompressed_data_point = ReconstructData(compressed_data_point, Z);

cs-pca

Principal Component Analysis implemented in C#

Install

Install-Package cs-pca

Usage

The sample codes below shows how to use the library to reduce the number of dimension or reconstruct the original data from the reduced data:

List<double[]> source = GetNormalizedData();
List<double[]> Z; // PCA output 
double variance_retained;
K = 5; // dimension of the Z (note that Z will have K+1 dimensions where the first dimension will be ignored)
PCA.PCADimReducer.CompressData(source, K, out Z, out variance_retained);

// To reconstruct some compressed data point from Z 
List<double[]> compressed_data_point = GetCompressedDataPoints(); // K+1 dimension data points 
List<double[]> uncompressed_data_point = ReconstructData(compressed_data_point, Z);

Release Notes

Principal Component Analysis in .NET 4.6.1

Dependencies

This package has no dependencies.

This package is not used by any popular GitHub repositories.

Version History

Version Downloads Last updated
1.0.1 361 4/28/2018