Journal of Engineering and Applied Sciences

Year: 2017
Volume: 12
Issue: 7
Page No. 1890 - 1895

Presentation and Evaluation of an Effective Algorithm for Clustering

Authors : R.Alesheykh

References

Ali, S.H., A.I. El Desouky and A.I. Saleh, 2016. Notice of retraction: A new profile learning model for recommendation system based on machine learning technique. Indonesian J. Electr. Eng. Inf., 4: 81-92.
CrossRef  |  Direct Link  |  

Chen, L., K. Wang, Y. Xie and J. Wang, 2014. The segmentation of timber defects based on color and the mathematical morphology. Optik Intl. J. Light Electron. Optics, 125: 965-967.
Direct Link  |  

Furnkranz, J., 1999. Separate-and-conquer rule learning. Artif. Intell. Rev., 13: 3-54.
CrossRef  |  Direct Link  |  

Fuster, P.P., P. Tauler, M.B. Veny, A. Ligeza and A.A.L. Gonzalez et al., 2016. Bayesian network modeling: A case study of an epidemiologic system analysis of cardiovascular risk. Comput. Methods Programs Biomed., 126: 128-142.
PubMed  |  Direct Link  |  

Han, J., M. Kamber and J. Pei, 2011. Data Mining: Concepts and Techniques. 3rd Edn., Morgan Kaufmann Publishers, USA., ISBN-13: 9780123814791, Pages: 744.

Hashim U., S. Hashim and A. Muda, 2015. Image collection for non-segmenting approach of timber surface defect detection. Intl. J. adv. Soft Comput., 7: 15-34.

Hashim, U., S. Hashim and A. Muda, 2016. Performance evaluation of multivariate texture descriptor for classification of timber defect. Opt. Intl. J. Light Electron Opt., 127: 6071-6080.
Direct Link  |  

Heckerman, D., 1996. A tutorial with learning Bayesian networks. Microsoft Research, Redmond, Washington. http://sfi.nr.no/sfi/images/8/8f/Heckermantutorial.pdf.

Kuzelewska, U., 2014. Clustering algorithms in hybrid recommender system on MovieLens data. Stud. Logic Grammar Rhetoric, 37: 125-139.
Direct Link  |  

Lei, Z. and M. Yan, 2010. Timber species recognition approach based on mathematic simulation theory. Proceedings of the 2010 International Conference on Information Science and Management Engineering (ISME) Vol. 2, August 7-8, 2010, IEEE, Harbin, China, ISBN:978-1-4244-7669-5, pp: 197-202.

Ma, L., S. Destercke and Y. Wang, 2016. Online active learning of decision trees with evidential data. Pattern Recognit., 52: 33-45.
Direct Link  |  

Pearl, J., 1988. Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. Morgan Kaufmann, San Mateo, USA., ISBN: 9781558604797, Pages: 552.

Quian, S. and D. Chen, 1996. Joint Time Frequency Analysis: Methods and Applications. Prentice Hall, Upper Saddle River, New Jersey, ISBN:9780132543842, Pages: 302.

Quinlan, J.R., 1993. Programs for Machine Learning. 1st Edn., Morgan Kaufmann, San Francisco, ISBN: 1-55860-238-0.

Rancoita, P.M., M. Zaffalon, E. Zucca, F. Bertoni and C.P. De Campos, 2016. Bayesian network data imputation with application to survival tree analysis. Comput. Stat. Data Anal., 93: 373-387.
Direct Link  |  

Robert, M.G., 2014. Entropy and Information Theory. 2nd Edn., Springer, USA., ISBN:9781489981325, Pages: 409.

Sugiyama, M., 2015. Statistical Machine Learning. In: Introduction to Statistical Machine Learning, Sugiyama, M. (Ed.). MK Publishers, ā€ˇBurlington, Massachusetts, ISBN-13: 978-0128021217, pp: 3-8.

Susanto, B.M., 2013. Naive Bayes Decision Tree Hybrid Approach for Intrusion Detection System. In: Bulletin of Electrical Engineering and Informatics, Sutikno, T., J. Auzani and F. Moch (Eds.). Institute of Advanced Engineering and Science, Indonesia, Asia, ISBN:0-201-14455-7, pp: 225-232.

Suzuki, J., 1999. Learning Bayesian belief networks based on the minimum description length principle: Basic properties. IEICE. Trans. Fundam. Electron. Commun. Comput. Sci., 82: 2237-2245.
Direct Link  |  

Witten, I.H., E. Frank and A.H. Mark, 2011. Data Mining: Practical Machine Learning Tools and Techniques. 3rd Edn., Morgan Kaufmann, San Francisco, CA., USA.

Yu, J., H. Zhou and X. Gao, 2015. Machine learning and signal processing for human pose recovery and behavior analysis. Signal Process., 110: 1-4.
CrossRef  |  Direct Link  |  

Yusof, R., M. Khalid and A.S.M. Khairuddin, 2013. Fuzzy logic-based pre-classifier for tropical wood species recognition system. Mach. Vision Appl., 24: 1589-1604.
CrossRef  |  Direct Link  |  

Design and power by Medwell Web Development Team. © Medwell Publishing 2024 All Rights Reserved