Increasing Accuracy and performance in cluster with high dimensional data

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  • 7/22/2019 Increasing Accuracy and performance in cluster with high dimensional data

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    Increasing Accuracy and

    Performance in Cluster with High

    Dimensional Data

    Guided By

    Mr.R.SelvarajM.E

    Submitted ByB.Ashokkumaar

    (811212405002)

  • 7/22/2019 Increasing Accuracy and performance in cluster with high dimensional data

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    CONTENT

    Abstract

    Introduction

    Literature Survey

    Problem Definition

    Existing System

    Proposed System

    Conclusion

    Reference

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    ABSTRACT

    Increase Accuracy

    Assigning initial centroid

    Using RAND INDEX

    Maximize the performance

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    INTRODUCTION

    Accurate Information

    Speeding up the result

    Low time Complexity

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    Literature Survey

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    Problem Definition

    Existing System

    Efficiency

    Effective

    Drawback is Accuracy and

    Performance

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    Problem Definition

    Proposed System

    Accuracy and Peformance withEfficiency and Effectiveness

    Improving these by usingAlgorithms

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    CONCLUSION

    Assigning Centroid

    Solution with accuracy and

    complexity of cluster in highdimensional data.

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    REFERENCES1.Qinbao Song, Jingjie Ni and Guangtao Wang, A Fast

    clustering based feature subset selection algorithm for highdimentional data, IEEE transaction on knowledge anddata engineering Vol25 No1 2013.

    2.Tajunisha.n Saravanan.V.,A New approach to improve the

    clustering accuracy using information genes forunsupervised microarray data sets, Internation journal ofadvanced science and technology vol 27 feb,2011.

    3.Samir Brahim Belhaouari, Fast and accuracy control chartpattern recognition using a new cluster k-nearestneighbor, World academy of science, Enineering andtechnology 25 2009.

    4.Andrew McCallum, Kamal nigam, Lyle H.ungar, Efficientclustering high-dimensional data sets with application toreference matching,

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    THANK YOU