Rough Clustering For Cancer Datasets
Cancer is becoming a leading cause of death among people in the whole world. It is confirmed that the early detection and accurate diagnosis of this disease can ensure a long survival of the patients.Expert systems and machine learning techniques are gaining popularity in this field because of the e...
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| Format: | Article |
| Language: | English |
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World Scientific Publishing
2010
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| Online Access: | http://umpir.ump.edu.my/id/eprint/2064/ http://umpir.ump.edu.my/id/eprint/2064/1/Full_Paper_ICMCB_CB_01_Rough_clustering_for_cancer_datasets-Journal-.pdf |
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ump-20642017-09-14T05:38:32Z http://umpir.ump.edu.my/id/eprint/2064/ Rough Clustering For Cancer Datasets Herawan, Tutut T Technology (General) Cancer is becoming a leading cause of death among people in the whole world. It is confirmed that the early detection and accurate diagnosis of this disease can ensure a long survival of the patients.Expert systems and machine learning techniques are gaining popularity in this field because of the effective classification and high diagnostic capability. This paper presents the application of rough set theory for clustering two cancer datasets. These datasets are taken from UCI ML repository. The method is based on MDA technique proposed from Ref. 11. To select a clustering attribute, the maximal degree of the rough attributes dependencies in categorical-valued information systems is used. Further, we use a divide-and-conquer method to partition/cluster the objects. The results show that MDA technique can be used to cluster to the data. Further, we present clusters visualization using two dimensional plot. The plot results provide user friendly navigation to understand the cluster obtained. World Scientific Publishing 2010 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/2064/1/Full_Paper_ICMCB_CB_01_Rough_clustering_for_cancer_datasets-Journal-.pdf Herawan, Tutut (2010) Rough Clustering For Cancer Datasets. International Journal of Modern Physics: Conference Series, 1 (1). pp. 1-5. ISSN 2010-1945 |
| repository_type |
Digital Repository |
| institution_category |
Local University |
| institution |
Universiti Malaysia Pahang |
| building |
UMP Institutional Repository |
| collection |
Online Access |
| language |
English |
| topic |
T Technology (General) |
| spellingShingle |
T Technology (General) Herawan, Tutut Rough Clustering For Cancer Datasets |
| description |
Cancer is becoming a leading cause of death among people in the whole world. It is confirmed that the early detection and accurate diagnosis of this disease can ensure a long survival of the patients.Expert systems and machine learning techniques are gaining popularity in this field because of the effective classification and high diagnostic capability. This paper presents the application of rough set theory for clustering two cancer datasets. These datasets are taken from UCI ML repository. The method is based on MDA technique proposed from Ref. 11. To select a clustering attribute, the maximal degree of the rough attributes dependencies in categorical-valued information systems is used. Further, we use a divide-and-conquer method to partition/cluster the objects. The results show that MDA technique can be used to cluster to the data. Further, we present clusters visualization using two dimensional plot. The plot results provide user friendly navigation to understand the cluster obtained. |
| format |
Article |
| author |
Herawan, Tutut |
| author_facet |
Herawan, Tutut |
| author_sort |
Herawan, Tutut |
| title |
Rough Clustering For Cancer Datasets |
| title_short |
Rough Clustering For Cancer Datasets |
| title_full |
Rough Clustering For Cancer Datasets |
| title_fullStr |
Rough Clustering For Cancer Datasets |
| title_full_unstemmed |
Rough Clustering For Cancer Datasets |
| title_sort |
rough clustering for cancer datasets |
| publisher |
World Scientific Publishing |
| publishDate |
2010 |
| url |
http://umpir.ump.edu.my/id/eprint/2064/ http://umpir.ump.edu.my/id/eprint/2064/1/Full_Paper_ICMCB_CB_01_Rough_clustering_for_cancer_datasets-Journal-.pdf |
| first_indexed |
2023-09-18T21:55:34Z |
| last_indexed |
2023-09-18T21:55:34Z |
| _version_ |
1777414055990919168 |