A new approach of clustering based machine-learning algorithm

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A new approach of clustering based machine-learning algorithm

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dc.contributor.author Al-Omary, Alauddin Yousif
dc.contributor.author Jamil, Mohammad Shahid
dc.date.accessioned 2009-12-30T06:10:10Z
dc.date.available 2009-12-30T06:10:10Z
dc.date.issued 2005-10-04
dc.identifier.citation Volume 19, Issue 4, August 2006, Pages 248-258 en_US
dc.identifier.uri http://dx.doi.org/10.1016/j.knosys.2005.10.011
dc.identifier.uri http://hdl.handle.net/10576/10579
dc.description.abstract Machine-learning research is to study and apply the computer modeling of learning processes in their multiple manifestations, which facilitate the development of intelligent system. In this paper, we have introduced a clustering based machine-learning algorithm called clustering algorithm system (CAS). The CAS algorithm is tested to evaluate its performance and find fruitful results. We have been presented some heuristics to facilitate machine-learning authors to boost up their research works. The InfoBase of the Ministry of Civil Services is used to analyze the CAS algorithm. The CAS algorithm is compared with other machine-learning algorithms like UNIMEM, COBWEB, and CLASSIT, and was found to have some strong points over them. The proposed algorithm combined advantages of two different approaches to machine learning. The first approach is learning from Examples, CAS supports Single and Multiple Inheritance and Exceptions. CAS also avoids probability assumptions which are well understood in concept formation. The second approach is learning by Observation. CAS applies a set of operators that have proven to be effective in conceptual clustering. We have shown how CAS builds and searches through a clusters hierarchy to incorporate or characterize an object. en_US
dc.language.iso en en_US
dc.subject Machine learning en_US
dc.subject Clustering algorithm en_US
dc.subject Unsupervised learning en_US
dc.subject Evidential reasoning en_US
dc.subject Incremental learning en_US
dc.subject Multiple inheritance en_US
dc.subject Overlapping concept en_US
dc.title A new approach of clustering based machine-learning algorithm en_US
dc.type Article en_US

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