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.
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08.Data clustering using maximum dependency of attributes and its application to cluster agricultural products.pdf - Accepted Version Download (1MB) | Preview |
Abstract
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.
| Item Type: | Undergraduates Project Papers |
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| Additional Information: | Project paper (Bachelor of Computer Science (Software Engineering)) -- Universiti Malaysia Pahang - 2012, SV: TUTUT HERAWAN, NO. CD: 6554 |
| Uncontrolled Keywords: | Cluster analysis Data mining |
| Subjects: | Q Science > QA Mathematics |
| Faculty/Division: | Faculty of Computer System And Software Engineering |
| Depositing User: | Shamsor Masra Othman |
| Date Deposited: | 08 Jul 2014 03:40 |
| Last Modified: | 06 Sep 2023 07:25 |
| URI: | http://umpir.ump.edu.my/id/eprint/5031 |
| Download Statistic: | View Download Statistics |
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