ORF, Ghassen (2024) Classification dans les mélanges de probabilités PRE - Research Project, ENSTA.

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Abstract

In this research internship report, we seek a linear decomposition of the data using the Independent Component Analysis (ICA) method as the primary approach. We model the data in two parts : one that satisfies the ICA assumptions and another that does not. The data are considered as a mixture of probabilities, and classification methods are proposed to extend the application scope of ICA. Additionally, we used techniques such as DBSCAN, KDE, and KNN for data analysis and classification.

Item Type:Thesis (PRE - Research Project)
Subjects:Information and Communication Sciences and Technologies
Mathematics and Applications
ID Code:10021
Deposited By:Ghassen ORF
Deposited On:28 août 2024 18:51
Dernière modification:28 août 2024 18:51

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