novinsh / multivariate-project

Sign Language Digit Classification

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multivariate-project

Sign Language Digit Classification

An example of images from the dataset This was our course project for Multivariate Analysis (MTMS.01.088 Spring 2017/18).

Goal?

To classify sign language digits using linear and quadratic discriminant analysis and PCA for dimensionality reduction.

Results

  • PCA reducing dimensions
  • LDA: ~75%
  • QDA: ~85%

You can download the report from here.

About

Sign Language Digit Classification


Languages

Language:R 100.0%