Generating Multi-Codebook Neural Network by Using Intelligent Gaussian Mixture Model Clustering Based on Histogram Information for Multi-Modal Data Classification

Generating Multi-Codebook Neural Network by Using Intelligent Gaussian Mixture Model Clustering Based on Histogram Information for Multi-Modal Data Classification

One of the open challenges in machine learning is multi-modal data classification. A classifier model needs to be enhanced to deal with multi-modal data. This study is proposed to develop multi-codebook neural networks using intelligent Gaussian mixture model clustering for multi-modal data classifi...

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Bibliographic Details
Main Authors: M. Anwar Ma'Sum, Noverina Alfiany, Wisnu Jatmiko
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Multi-modal
classification
multi-codebook
neural networks
intelligent clustering
Gaussian mixture model
Online Access:https://ieeexplore.ieee.org/document/9915604/
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