Creator:

López-Lobato, Adriana Laura ; Avendano-Garrido, Martha L.

Contributor:

Korbicz, Józef (1951- ) - red. ; Uciński, Dariusz - red.

Title:

Fitting a Gaussian mixture model through the Gini index

Group publication title:

AMCS, volume 31 (2021)

Subject and Keywords:

Gini index problem ; Gaussian mixture model ; clustering

Abstract:

A linear combination of Gaussian components is known as a Gaussian mixture model. It is widely used in data mining and pattern recognition. In this paper, we propose a method to estimate the parameters of the density function given by a Gaussian mixture model. Our proposal is based on the Gini index, a methodology to measure the inequality degree between two probability distributions, and consists in minimizing the Gini index between an empirical distribution for the data and a Gaussian mixture model. We will show several simulated examples and real data examples, observing some of the properties of the proposed method.

Publisher:

Zielona Góra: Uniwersytet Zielonogórski

Date:

2021

Resource Type:

artykuł

DOI:

10.34768/amcs-2021-0033

Pages:

487-500

Source:

AMCS, volume 31, number 3 (2021) ; click here to follow the link

Language:

eng

License CC BY 4.0:

click here to follow the link

Rights:

Biblioteka Uniwersytetu Zielonogórskiego