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normal-distribution

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The proposed algorithm is successful in elimination of 108 rows from Pima Diabetes Dataset by skewness range of Normal distribution curve. To check the efficacy of the algorithm, it is compared with four techniques- Local Outlier Factor, Mahalanobis Distance, Multivariate Normal Distribution (N Dimensional) and DBSCAN.

  • Updated Jun 13, 2024
  • Jupyter Notebook

Introducing the world's first fully generalized normal distribution, super-flexible in both, skewness and kurtosis. Basically will enable for automatic testing of skew __and also__ heavy tailed/ fat tailed distributions.

  • Updated Jan 22, 2024
  • Python

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