ICTACT Journal on Soft Computing

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A Hybrid Ensemble Method for Accurate Fuzzy and Support Vector Machine for Gene Expression in Data Mining


Affiliations
1 Department of Computer Science, KSG College of Arts and Science, India
     

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Malignancy is a bunch of infection which spreads all through the human body. Since it is an exceptionally deceptive illness its determination is of vital importance. Information mining innovation helps in arranging and bunching the malignancy information and this procedure assists with distinguishing potential disease patients by investigating the data alone. In this examination we analyze three information mining calculations, namely PCA, Genetic calculation and Hierarchical Fuzzy C Means (HFCM). The hereditary calculation is done using the Quantum-enhanced Support Vector Machine (QSVM). The outcome demonstrates that the proposed calculation accomplishes a better outcome when contrasted to the other two calculations.

Keywords

PCA, Genetic Algorithm, Hierarchical Fuzzy C Mean, QSVMs, Cluster.
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  • A Hybrid Ensemble Method for Accurate Fuzzy and Support Vector Machine for Gene Expression in Data Mining

Abstract Views: 355  |  PDF Views: 1

Authors

S. Vasanthakumar
Department of Computer Science, KSG College of Arts and Science, India
N. Ranjith
Department of Computer Science, KSG College of Arts and Science, India

Abstract


Malignancy is a bunch of infection which spreads all through the human body. Since it is an exceptionally deceptive illness its determination is of vital importance. Information mining innovation helps in arranging and bunching the malignancy information and this procedure assists with distinguishing potential disease patients by investigating the data alone. In this examination we analyze three information mining calculations, namely PCA, Genetic calculation and Hierarchical Fuzzy C Means (HFCM). The hereditary calculation is done using the Quantum-enhanced Support Vector Machine (QSVM). The outcome demonstrates that the proposed calculation accomplishes a better outcome when contrasted to the other two calculations.

Keywords


PCA, Genetic Algorithm, Hierarchical Fuzzy C Mean, QSVMs, Cluster.

References