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Figure 6 | BMC Bioinformatics

Figure 6

From: Non-negative matrix factorisation methods for the spectral decomposition of MRS data from human brain tumours

Figure 6

Classification results for the problem A2, AG, MM at LTE and STE. Plot for the comparison of the classification results for the problem A2, AG, MM at both LTE and STE, when using either PCA or Convex-NMF for DR, previous to classification with Fisher LDA. The left-hand side column corresponds to LTE results, and the right-hand side column to STE results. The first row displays the accuracy of the classification for all the methods, for training and test data sets. The second row displays the balanced error rate (BER) estimates for the test data sets. Horizontal axis: number of principal components or source signals. Vertical axis: accuracy and BER, respectively.

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