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Titlebook: Search for the Causes of Schizophrenia; Volume V Wagner F. Gattaz (Full Professor of Psychiatry & D Conference proceedings 2004 Steinkopff

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Stephan Heckersering algorithm to further cluster some groups resulting from DC-DBSCAN. To determine which groups are to be clustered further, a k-nearest neighbors algorithm is used. The experimental results demonstrate that the proposed method enhances the impurity and normalized mutual information (NMI) scores
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Heinz Häfner CASIA-IrisV2 dataset and observed improvement compared to conventional methods. The experimental results show that the proposed method’s accuracy, precision, and F1 score are improved by at least 2.20%, 4.50%, and 5.66%, respectively. These findings highlight the potential of our work for real-worl
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