One-hot vector hybrid associative classifier for medical data classification.
Pattern recognition and classification are two of the key topics in computer science. In this paper a novel method for the task of pattern classification is presented. The proposed method combines a hybrid associative classifier (Clasificador Híbrido Asociativo con Traslación, CHAT, in Spanish), a c...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2014-01-01
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| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC3994097?pdf=render |
| _version_ | 1819154142540595200 |
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| author | Abril Valeria Uriarte-Arcia Itzamá López-Yáñez Cornelio Yáñez-Márquez |
| author_facet | Abril Valeria Uriarte-Arcia Itzamá López-Yáñez Cornelio Yáñez-Márquez |
| author_sort | Abril Valeria Uriarte-Arcia |
| collection | DOAJ |
| description | Pattern recognition and classification are two of the key topics in computer science. In this paper a novel method for the task of pattern classification is presented. The proposed method combines a hybrid associative classifier (Clasificador Híbrido Asociativo con Traslación, CHAT, in Spanish), a coding technique for output patterns called one-hot vector and majority voting during the classification step. The method is termed as CHAT One-Hot Majority (CHAT-OHM). The performance of the method is validated by comparing the accuracy of CHAT-OHM with other well-known classification algorithms. During the experimental phase, the classifier was applied to four datasets related to the medical field. The results also show that the proposed method outperforms the original CHAT classification accuracy. |
| first_indexed | 2024-12-22T15:16:23Z |
| format | Article |
| id | doaj.art-eb267095d8a64da48f3182e26435cedf |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-22T15:16:23Z |
| publishDate | 2014-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-eb267095d8a64da48f3182e26435cedf2022-12-21T18:21:45ZengPublic Library of Science (PLoS)PLoS ONE1932-62032014-01-0194e9571510.1371/journal.pone.0095715One-hot vector hybrid associative classifier for medical data classification.Abril Valeria Uriarte-ArciaItzamá López-YáñezCornelio Yáñez-MárquezPattern recognition and classification are two of the key topics in computer science. In this paper a novel method for the task of pattern classification is presented. The proposed method combines a hybrid associative classifier (Clasificador Híbrido Asociativo con Traslación, CHAT, in Spanish), a coding technique for output patterns called one-hot vector and majority voting during the classification step. The method is termed as CHAT One-Hot Majority (CHAT-OHM). The performance of the method is validated by comparing the accuracy of CHAT-OHM with other well-known classification algorithms. During the experimental phase, the classifier was applied to four datasets related to the medical field. The results also show that the proposed method outperforms the original CHAT classification accuracy.http://europepmc.org/articles/PMC3994097?pdf=render |
| spellingShingle | Abril Valeria Uriarte-Arcia Itzamá López-Yáñez Cornelio Yáñez-Márquez One-hot vector hybrid associative classifier for medical data classification. PLoS ONE |
| title | One-hot vector hybrid associative classifier for medical data classification. |
| title_full | One-hot vector hybrid associative classifier for medical data classification. |
| title_fullStr | One-hot vector hybrid associative classifier for medical data classification. |
| title_full_unstemmed | One-hot vector hybrid associative classifier for medical data classification. |
| title_short | One-hot vector hybrid associative classifier for medical data classification. |
| title_sort | one hot vector hybrid associative classifier for medical data classification |
| url | http://europepmc.org/articles/PMC3994097?pdf=render |
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