<p>Blue circles are the test samples of the first class; red stars are the test samples of the second class; green dashed line denotes the decision boundary of LDA; green solid line denotes the decision boundary of Z-LDA.</p
<p>Classification accuracy of LDA using a single color channel on the GTFB database.</p
<p>Acc represent classification accuracy. Red line is the classification accuracy of ex-LDA-PLS algo...
<p>Left columns shows the true class of the sample. Top rows identify used prediction model and how ...
<p>Blue circles are the weight sum of the first class, blue solid line denotes the Gaussian distrib...
<p>LDA classifying parameter sets according to the strategy with the highest efficacy score. Shaded ...
<p>The red and black circles represent samples from REST and MI-GRASP respectively.</p
<p>The red and black circles represent samples from MI-GRASP and MI-ELBOW respectively.</p
<p>Black line with a square represents the direction of the LDA which coincides exactly with the dir...
Classification methods are given as 1NN (blue), 3NN (red), LDA (black), QDA (magenta). The vertical ...
<p>(A) Two-dimensional representation of viable (green) and apoptotic (red) cells with corresponding...
<p>Identification errors, calculated by LDA using LOO algorithm, versus PC number, are presented in ...
The results shown are the mean values from performing 1,000 tests on each chemical shift, with error...
Linear discriminant analysis (LDA) is one of the most popular classification algorithms for brain-co...
<p>Acc represent classification accuracy. Green lines with circle represent the results of PCA, blue...
Classification using LDA classifier with LOO selection on the ranked coefficients.</p
<p>Classification accuracy of LDA using a single color channel on the GTFB database.</p
<p>Acc represent classification accuracy. Red line is the classification accuracy of ex-LDA-PLS algo...
<p>Left columns shows the true class of the sample. Top rows identify used prediction model and how ...
<p>Blue circles are the weight sum of the first class, blue solid line denotes the Gaussian distrib...
<p>LDA classifying parameter sets according to the strategy with the highest efficacy score. Shaded ...
<p>The red and black circles represent samples from REST and MI-GRASP respectively.</p
<p>The red and black circles represent samples from MI-GRASP and MI-ELBOW respectively.</p
<p>Black line with a square represents the direction of the LDA which coincides exactly with the dir...
Classification methods are given as 1NN (blue), 3NN (red), LDA (black), QDA (magenta). The vertical ...
<p>(A) Two-dimensional representation of viable (green) and apoptotic (red) cells with corresponding...
<p>Identification errors, calculated by LDA using LOO algorithm, versus PC number, are presented in ...
The results shown are the mean values from performing 1,000 tests on each chemical shift, with error...
Linear discriminant analysis (LDA) is one of the most popular classification algorithms for brain-co...
<p>Acc represent classification accuracy. Green lines with circle represent the results of PCA, blue...
Classification using LDA classifier with LOO selection on the ranked coefficients.</p
<p>Classification accuracy of LDA using a single color channel on the GTFB database.</p
<p>Acc represent classification accuracy. Red line is the classification accuracy of ex-LDA-PLS algo...
<p>Left columns shows the true class of the sample. Top rows identify used prediction model and how ...
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