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    Effect of Rank Based Correlation on K-Nearest Neighbour

    Abstract: AbstractBecause of its simplicity, higher efficiency and effectiveness, K-nearest neighbour (KNN) isthe most popular and chosen algorithm in the last few years. It has many conveniences withthe exception of some inconvenience. In this study, we explore the correlation and dependencebetween attributes, and try to significantly improve the classification accuracy from existingalgorithm by skipping correlated attributes. To get classification accuracy, we applied thisskipping correlated attributes method in KNN ranking based classifier. …

    Published in Current Trends in Information Technology · Vol. 7, Issue 2, 2017 · pp. 17–22 Read article

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