A NOVEL STRING GRAMMAR FUZZY CLUSTERING
Methods of pattern recognition have a broad range on real-world applications. The techniques used to solve pattern recognition problems can be grouped into two main fundamental approaches, i.e., a numerical approach and a structural approach. This thesis only focus on the clustering method to treat...
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Chiang Mai : Graduate School, Chiang Mai University
2020
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Online Access: | http://cmuir.cmu.ac.th/jspui/handle/6653943832/69290 |
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th-cmuir.6653943832-692902020-08-04T00:38:08Z A NOVEL STRING GRAMMAR FUZZY CLUSTERING A NOVEL STRING GRAMMAR FUZZY CLUSTERING อัจฉรินทร์ กล่อมแสร์ ATCHARIN KLOMSAE Assoc. Prof. Dr. Sansanee Auephanwiriyakul String Grammar Fuzzy Clustering structural approach syntactic approach Levenshtein distance Methods of pattern recognition have a broad range on real-world applications. The techniques used to solve pattern recognition problems can be grouped into two main fundamental approaches, i.e., a numerical approach and a structural approach. This thesis only focus on the clustering method to treat the problems of pattern recognition and its applications by using the structural approach. We proposed a variety of new fuzzy clustering techniques for domain of string. We also proposed fuzzy median string by incorporating the idea of fuzzy to median string for prototype calculation of these string grammar fuzzy clustering algorithms. To evaluate the performance of our string grammar fuzzy clustering methods, we run our experiment on standard real-world data sets and real applications, i.e., Thai sign language translation and identification of cardio-pulmonary resuscitation activity in medical simulation videos. From the results, our string grammar fuzzy clustering algorithms can detect noisy data, and cluster overlapping data as well. 2020-08-04T00:38:08Z 2020-08-04T00:38:08Z Thesis http://cmuir.cmu.ac.th/jspui/handle/6653943832/69290 en_US Chiang Mai : Graduate School, Chiang Mai University |
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String Grammar Fuzzy Clustering structural approach syntactic approach Levenshtein distance |
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String Grammar Fuzzy Clustering structural approach syntactic approach Levenshtein distance อัจฉรินทร์ กล่อมแสร์ ATCHARIN KLOMSAE A NOVEL STRING GRAMMAR FUZZY CLUSTERING |
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Methods of pattern recognition have a broad range on real-world applications. The techniques used to solve pattern recognition problems can be grouped into two main fundamental approaches, i.e., a numerical approach and a structural approach. This thesis only focus on the clustering method to treat the problems of pattern recognition and its applications by using the structural approach. We proposed a variety of new fuzzy clustering techniques for domain of string. We also proposed fuzzy median string by incorporating the idea of fuzzy to median string for prototype calculation of these string grammar fuzzy clustering algorithms. To evaluate the performance of our string grammar fuzzy clustering methods, we run our experiment on standard real-world data sets and real applications, i.e., Thai sign language translation and identification of cardio-pulmonary resuscitation activity in medical simulation videos. From the results, our string grammar fuzzy clustering algorithms can detect noisy data, and cluster overlapping data as well. |
author2 |
Assoc. Prof. Dr. Sansanee Auephanwiriyakul |
author_facet |
Assoc. Prof. Dr. Sansanee Auephanwiriyakul อัจฉรินทร์ กล่อมแสร์ ATCHARIN KLOMSAE |
format |
Theses and Dissertations |
author |
อัจฉรินทร์ กล่อมแสร์ ATCHARIN KLOMSAE |
author_sort |
อัจฉรินทร์ กล่อมแสร์ |
title |
A NOVEL STRING GRAMMAR FUZZY CLUSTERING |
title_short |
A NOVEL STRING GRAMMAR FUZZY CLUSTERING |
title_full |
A NOVEL STRING GRAMMAR FUZZY CLUSTERING |
title_fullStr |
A NOVEL STRING GRAMMAR FUZZY CLUSTERING |
title_full_unstemmed |
A NOVEL STRING GRAMMAR FUZZY CLUSTERING |
title_sort |
novel string grammar fuzzy clustering |
publisher |
Chiang Mai : Graduate School, Chiang Mai University |
publishDate |
2020 |
url |
http://cmuir.cmu.ac.th/jspui/handle/6653943832/69290 |
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1681752617024225280 |