This repository contains an implementation of the Gaussian Naive Bayes algorithm in Python. Gaussian Naive Bayes is a popular classification algorithm that is particularly well-suited for data with ...

numpy.meshgrid()– It is used to create a rectangular grid out of two given one-dimensional arrays representing the Cartesian indexing or Matrix indexing. numpy.exp()– this mathematical function helps ...

In this article we present a package, developed in Python, for performing statistical and numerical analysis of data involving the ex-Gaussian function. Python is a high-level interpreted language.

Using NumPy for array and matrix math in Python Many mathematical operations, especially in machine learning or data science, involve working with matrixes, or lists of numbers. The naive way to ...

Detectors based on matrix information geometry have been developed recently and demonstrated advantages against conventional methods for detection of targets within nonhomogeneous clutter backgrounds.

Matrix-variate Gaussian graphical models (GGM) have been widely used for modeling matrix-variate data. Since the support of sparse precision matrix represents the conditional independence graph among ...

The quality of the variables produced by our design are verified via the standard Gaussian statistical test suit, the chi-square (X 2 ) test. Published in: 2012 International Conference on ...