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. 2010 Sep 4;26(18):i531–i539. doi: 10.1093/bioinformatics/btq376

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© The Author(s) 2010. Published by Oxford University Press.

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Fig. 3. — Evaluation on dataset 2. (A) Result of AP clustering in the space of first two dimensions extracted by LLE. (B) Result of MCAP clustering in the space of first two dimensions extracted by LLE. (C) Results of MCAP clustering in the space of first two dimensions extracted by MCE. Blue line for pain cluster, red line for control cluster. White skeleton in panel (B) indicates the partition generated by MCAP over the MST; link deleted by clustering was between samples C3 and NP3. SVM decision rule for classification (grey line in panel A and B) is obtained considering the training samples (C1 − C5; P1 − P4). (D) Evaluation of SVM, MCAP and AP for pain classification in LLE reduced space. (E) Evaluation of MCAP and AP for pain classification in MCE reduced space.

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