Calculation of Mean Data on Gini Relationship by Data Mining Method
Data clustering is one of the main tasks of data mining which have to show the hidden patterns in unlabeled data. Due to inherent complexity and weakness of basic clusterings, a considerable amount of research has nowadays turned to ensemble based clusterings. Because of effectiveness of weighting in classifier ensemble it is expected that the usage of weighting can be effective in clustering ensemble. In classifier ensemble, the vote of each classifier is related to its accuracy. There, the accuracy of each classifier is approximated by testing the classifier over a test data set, but the accuracy of clustering can't be approximated at all; because it lacks supervision and also a well-known measure for estimation of accuracy. Here, research test the leukemia data using the Gini relation on meta-hierarchical algorithms and use the data mining relation to evaluate the accuracy of the algorithms over other algorithms.
Maysam Toghraee, Farhad rad, Hamid parvin,"Effect Neural Networks on Selected Feature by Meta Heuristic Algorithms", International Journal of Mathematical Sciences and Computing (IJMSC), Vol.2, No.3, pp.41-48, 2016.
Maysam Toghraee, Hamid parvin, Farhad rad, “The Impact of Feature Selection on Meta-Heuristic Algorithms to Data Mining Methods”, International Journal of Modern Education and Computer Science (IJMECS), Vol.8, No.10, pp.33-39, 2016.
Zhao Z and Liu H. (2007), Semi-supervised feature selection via spectral analysis. In Proceedings of SIAM International Conference on Data Mining (SDM), 2007.
Dy J. Unsupervised feature selection. Computational Methods of Feature Selection, 2008.
Toghraee, Maysam, Parvin, Hamid, AND Rad, Farhad. “Evaluation of Meta-Heuristic Algorithms for Stable Feature Selection” I.J. Information Technology and Computer Science (ijitcs), 2016.
Mehdi A." Introduction to genetic algorithm and application", Tehran: Bell Press naghos, 2008.
Toghraee, Maysam, Esmaeili, Mohammad, AND Parvin, Hamid. "Evaluation Neural Networks on Selected Feature by Meta Heuristic Algorithms" Artificial Intelligent Systems and Machine Learning, 2016.
Toghraee, Maysam, Parvin, Hamid, AND Rad, Farhad. “The Impact of Feature Selection on Meta-Heuristic Algorithms to Data Mining Methods”, International Journal of Modern Education and Computer Science, 2016.
Murata S and Kurova H. Self-Organization of Biological Systems, 2012.
Maysam Toghraee, Farhad rad, Hamid parvin, “The Influence Select Feature on The Clustering Algorithm”, Journal of Computer Science Engineering and Software Testing, Vol3, Issue3, pp.1-10, 2017.
P. Baranikumar, N. Gobi "Feature Extraction of Opinion Mining Using Ontology", International Journal of Advances in Computer and Electronics Engineering, 2016.
Anitha Shanmugam, Dr. Abirami Thiayagarajan, "Mining of Behavioral Patterns Using Prefix Sharing ASP-Tree in Wireless Sensor Networks", International Journal of Advances in Computer and Electronics Engineering, 2017.
Neumann J, C and Schnar G. S. Combined SVM-based feature selection and classification, Machine Learning, 2005.
Pham D. T and Ghanbarzadeh A and Koc E nad Otri S and Rahim S., Zaidi M. The Gini Algorithm –A Novel Tool for Complex Optimization Problems, 2006.
Matlab version 220.127.116.117(R2017a), 29 january2007, U.S.Patents. James B. Orlin and Carol Meyers, (2017), "Very Large-Scale Neighborhood Search Techniques in Timetabling Problems", PATAT 2017, pp. 36–52. ISBN 80-210- 3726-1.
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