(Color online) the Precision and RankingSocre of improved KNN approach with different parameter θ.</p
<p>Actual classification performance for Medelon dataset using KNN classifier.</p
<p>Average precision of top ranked results for different methods after ninth feedback.</p
<p>Sensitivity (Sen, solid lines) and specificity (Sp, dashed lines) versus Number of Neighbors for ...
(Color online) the diversity and novelty of improved KNN approach with different parameter θ.</p
Accuracy results of MR-KNN and KNN-IS compared to the proposed methods in the test stage with 5-fold...
<p>As more attributes are taken into account, the kNN becomes significantly better than the other pa...
<p><b> of the kNN classifier.</b> Panel (a) illustrates the default value of the parameter () with a...
Accuracy results of RC-KNN and LC-KNN compared to the proposed methods in the test stage, with 10-fo...
Performance comparison of the machine learning models regarding the use of KNN imputer.</p
<p>Comparison of accuracy between standard KNN classification using all differentially expressed gen...
<p>Accuracy of the Cubic KNN classifiers in discriminating between NT, MT, and ST samples with diffe...
Comparison between numerical simulation results and standard calculation results (kN).</p
<p>Evaluation of different methods on Newman’s benchmark networks in terms of NMI.</p
<p>Actual classification performance for Prostate cancer dataset using KNN classifier.</p
<p>Highest values of performance measures for KNN on each species and the threshold values used to o...
<p>Actual classification performance for Medelon dataset using KNN classifier.</p
<p>Average precision of top ranked results for different methods after ninth feedback.</p
<p>Sensitivity (Sen, solid lines) and specificity (Sp, dashed lines) versus Number of Neighbors for ...
(Color online) the diversity and novelty of improved KNN approach with different parameter θ.</p
Accuracy results of MR-KNN and KNN-IS compared to the proposed methods in the test stage with 5-fold...
<p>As more attributes are taken into account, the kNN becomes significantly better than the other pa...
<p><b> of the kNN classifier.</b> Panel (a) illustrates the default value of the parameter () with a...
Accuracy results of RC-KNN and LC-KNN compared to the proposed methods in the test stage, with 10-fo...
Performance comparison of the machine learning models regarding the use of KNN imputer.</p
<p>Comparison of accuracy between standard KNN classification using all differentially expressed gen...
<p>Accuracy of the Cubic KNN classifiers in discriminating between NT, MT, and ST samples with diffe...
Comparison between numerical simulation results and standard calculation results (kN).</p
<p>Evaluation of different methods on Newman’s benchmark networks in terms of NMI.</p
<p>Actual classification performance for Prostate cancer dataset using KNN classifier.</p
<p>Highest values of performance measures for KNN on each species and the threshold values used to o...
<p>Actual classification performance for Medelon dataset using KNN classifier.</p
<p>Average precision of top ranked results for different methods after ninth feedback.</p
<p>Sensitivity (Sen, solid lines) and specificity (Sp, dashed lines) versus Number of Neighbors for ...
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