Clustering versus Incremental Learning Multi-Codebook Fuzzy Neural Network for Multi-Modal Data Classification
One of the challenges in machine learning is a classification in multi-modal data. The problem needs a customized method as the data has a feature that spreads in several areas. This study proposed a multi-codebook fuzzy neural network classifiers using clustering and incremental learning approaches...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-01-01
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| Series: | Computation |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-3197/8/1/6 |
| _version_ | 1818512738667724800 |
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| author | Muhammad Anwar Ma’sum Hadaiq Rolis Sanabila Petrus Mursanto Wisnu Jatmiko |
| author_facet | Muhammad Anwar Ma’sum Hadaiq Rolis Sanabila Petrus Mursanto Wisnu Jatmiko |
| author_sort | Muhammad Anwar Ma’sum |
| collection | DOAJ |
| description | One of the challenges in machine learning is a classification in multi-modal data. The problem needs a customized method as the data has a feature that spreads in several areas. This study proposed a multi-codebook fuzzy neural network classifiers using clustering and incremental learning approaches to deal with multi-modal data classification. The clustering methods used are K-Means and GMM clustering. Experiment result, on a synthetic dataset, the proposed method achieved the highest performance with 84.76% accuracy. Whereas on the benchmark dataset, the proposed method has the highest performance with 79.94% accuracy. The proposed method has 24.9% and 4.7% improvements in synthetic and benchmark datasets respectively compared to the original version. The proposed classifier has better accuracy compared to a popular neural network with 10% and 4.7% margin in synthetic and benchmark dataset respectively. |
| first_indexed | 2024-12-10T23:51:17Z |
| format | Article |
| id | doaj.art-72f86f063cac4ef0bb38e0b3ba7a866e |
| institution | Directory Open Access Journal |
| issn | 2079-3197 |
| language | English |
| last_indexed | 2024-12-10T23:51:17Z |
| publishDate | 2020-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Computation |
| spelling | doaj.art-72f86f063cac4ef0bb38e0b3ba7a866e2022-12-22T01:28:46ZengMDPI AGComputation2079-31972020-01-0181610.3390/computation8010006computation8010006Clustering versus Incremental Learning Multi-Codebook Fuzzy Neural Network for Multi-Modal Data ClassificationMuhammad Anwar Ma’sum0Hadaiq Rolis Sanabila1Petrus Mursanto2Wisnu Jatmiko3Faculty of Computer Science, Universitas Indonesia, Kampus Baru UI Depok, Jawa Barat 16424, IndonesiaFaculty of Computer Science, Universitas Indonesia, Kampus Baru UI Depok, Jawa Barat 16424, IndonesiaFaculty of Computer Science, Universitas Indonesia, Kampus Baru UI Depok, Jawa Barat 16424, IndonesiaFaculty of Computer Science, Universitas Indonesia, Kampus Baru UI Depok, Jawa Barat 16424, IndonesiaOne of the challenges in machine learning is a classification in multi-modal data. The problem needs a customized method as the data has a feature that spreads in several areas. This study proposed a multi-codebook fuzzy neural network classifiers using clustering and incremental learning approaches to deal with multi-modal data classification. The clustering methods used are K-Means and GMM clustering. Experiment result, on a synthetic dataset, the proposed method achieved the highest performance with 84.76% accuracy. Whereas on the benchmark dataset, the proposed method has the highest performance with 79.94% accuracy. The proposed method has 24.9% and 4.7% improvements in synthetic and benchmark datasets respectively compared to the original version. The proposed classifier has better accuracy compared to a popular neural network with 10% and 4.7% margin in synthetic and benchmark dataset respectively.https://www.mdpi.com/2079-3197/8/1/6neural networkfuzzymulti-codebookmulti-modalclusteringincremental learning |
| spellingShingle | Muhammad Anwar Ma’sum Hadaiq Rolis Sanabila Petrus Mursanto Wisnu Jatmiko Clustering versus Incremental Learning Multi-Codebook Fuzzy Neural Network for Multi-Modal Data Classification Computation neural network fuzzy multi-codebook multi-modal clustering incremental learning |
| title | Clustering versus Incremental Learning Multi-Codebook Fuzzy Neural Network for Multi-Modal Data Classification |
| title_full | Clustering versus Incremental Learning Multi-Codebook Fuzzy Neural Network for Multi-Modal Data Classification |
| title_fullStr | Clustering versus Incremental Learning Multi-Codebook Fuzzy Neural Network for Multi-Modal Data Classification |
| title_full_unstemmed | Clustering versus Incremental Learning Multi-Codebook Fuzzy Neural Network for Multi-Modal Data Classification |
| title_short | Clustering versus Incremental Learning Multi-Codebook Fuzzy Neural Network for Multi-Modal Data Classification |
| title_sort | clustering versus incremental learning multi codebook fuzzy neural network for multi modal data classification |
| topic | neural network fuzzy multi-codebook multi-modal clustering incremental learning |
| url | https://www.mdpi.com/2079-3197/8/1/6 |
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