An analysis of modified naïve Bayesian classification using correlation based clustering for gene sequence data analysis

  • Authors

    • Vijay Arputharaj J
    • Dr. S. Sheeja
    2018-09-22
    https://doi.org/10.14419/ijet.v7i4.5.21169
  • Clustering, Classification, Gene Sequence, Data Analysis

  • Abstract

    Correlation based Clustering separates the statistical data into the most favorable amount of clusters on the correspondence to the statisti- cally analyzed data points. As we know that, Data mining is the technique of figuring out the progression of determines patterns inside huge statistics and data sets which concerning on techniques on the connection with machine related learning, statistics and also the advanced database systems. this technique denotes the gene sequence by using the novel classification technique, which improves the accuracy of classification under the curse of dimensionality, also clustering the gene data based on correlation based clustering will re- duce the execution time.

     

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  • How to Cite

    Arputharaj J, V., & S. Sheeja, D. (2018). An analysis of modified naïve Bayesian classification using correlation based clustering for gene sequence data analysis. International Journal of Engineering & Technology, 7(4.5), 612-616. https://doi.org/10.14419/ijet.v7i4.5.21169

    Received date: 2018-10-07

    Accepted date: 2018-10-07

    Published date: 2018-09-22