Data clustering using maximum dependency of attributes and its application to cluster agricultural products
This project is about understanding the method of Clustering Data using Rough set Theory.The technique used is Maximum Dependency of attributes.The way this technique work is by calculating the degree of each attribute and selecting the highest dependency based on the degree. The highest degree of a...
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| Format: | Undergraduates Project Papers |
| Language: | English |
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2012
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| Online Access: | http://umpir.ump.edu.my/id/eprint/5031/1/08.Data%20clustering%20using%20maximum%20dependency%20of%20attributes%20and%20its%20application%20to%20cluster%20agricultural%20products.pdf |
| _version_ | 1796989906838355968 |
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| author | Hafiz Kamal, Leang |
| author_facet | Hafiz Kamal, Leang |
| author_sort | Hafiz Kamal, Leang |
| collection | UMP |
| description | This project is about understanding the method of Clustering Data using Rough set Theory.The technique used is Maximum Dependency of attributes.The way this technique work is by calculating the degree of each attribute and selecting the highest dependency based on the degree. The highest degree of attribute will be chosen as the best attribute to be used to cluster the data.A system will be built by using Visual Basic (VB)that will implement this technique to cluster large data faster and easier. |
| first_indexed | 2024-03-06T11:43:57Z |
| format | Undergraduates Project Papers |
| id | UMPir5031 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T11:43:57Z |
| publishDate | 2012 |
| record_format | dspace |
| spelling | UMPir50312023-09-06T07:25:57Z http://umpir.ump.edu.my/id/eprint/5031/ Data clustering using maximum dependency of attributes and its application to cluster agricultural products Hafiz Kamal, Leang QA Mathematics This project is about understanding the method of Clustering Data using Rough set Theory.The technique used is Maximum Dependency of attributes.The way this technique work is by calculating the degree of each attribute and selecting the highest dependency based on the degree. The highest degree of attribute will be chosen as the best attribute to be used to cluster the data.A system will be built by using Visual Basic (VB)that will implement this technique to cluster large data faster and easier. 2012-05 Undergraduates Project Papers NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/5031/1/08.Data%20clustering%20using%20maximum%20dependency%20of%20attributes%20and%20its%20application%20to%20cluster%20agricultural%20products.pdf Hafiz Kamal, Leang (2012) Data clustering using maximum dependency of attributes and its application to cluster agricultural products. Faculty of Computer System & Software Engineering, Universiti Malaysia Pahang. |
| spellingShingle | QA Mathematics Hafiz Kamal, Leang Data clustering using maximum dependency of attributes and its application to cluster agricultural products |
| title | Data clustering using maximum dependency of attributes and its application to cluster agricultural products |
| title_full | Data clustering using maximum dependency of attributes and its application to cluster agricultural products |
| title_fullStr | Data clustering using maximum dependency of attributes and its application to cluster agricultural products |
| title_full_unstemmed | Data clustering using maximum dependency of attributes and its application to cluster agricultural products |
| title_short | Data clustering using maximum dependency of attributes and its application to cluster agricultural products |
| title_sort | data clustering using maximum dependency of attributes and its application to cluster agricultural products |
| topic | QA Mathematics |
| url | http://umpir.ump.edu.my/id/eprint/5031/1/08.Data%20clustering%20using%20maximum%20dependency%20of%20attributes%20and%20its%20application%20to%20cluster%20agricultural%20products.pdf |
| work_keys_str_mv | AT hafizkamalleang dataclusteringusingmaximumdependencyofattributesanditsapplicationtoclusteragriculturalproducts |