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Table 3 Experiment 1: Classification Accuracy with K-Nearest Neighbor

From: Supervised Regularized Canonical Correlation Analysis: integrating histologic and proteomic measurements for predicting biochemical recurrence following prostate surgery

Dataset (Ï•P, Ï•J)

CCA

RCCA

SRCCA TT

SRCCA WRST

SRCCA WLT

(Ï•P, Ï•M)

53%

37%

80%

79%

79%

(Ï•P, Ï•A)

58%

47%

74%

68%

74%

(Ï•P, Ï•H)

63%

47%

74%

74%

74%

  1. Classification accuracies obtained for fusing (Ï•P, Ï•M), (Ï•P, Ï•A), and (Ï•P, Ï•H), with CCA, RCCA, SRCCA TT , SRCCA WRST , and SRCCA WLT using the top d = 3 components, using Ï•KNNwith K = 1 neighbor and leave-one-out validation to identify patients at the risk of biochemical recurrence from those who are not.
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BMC Bioinformatics

ISSN: 1471-2105

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