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Besides, supervised method is conducive to cluster so that classification is easier.
The manifold structure can fit the real structure of the dataset, and the supervised method is a benefit to classification.
On the other hand, the within-class similarity graph for the supervised method is defined as Ww,ij = S w (i, j).
There may also be some outliers in the labeled training set, for example, an image of a person wearing thick sweater with hood that confuses the true appearance of the person, which explains why the supervised method is slightly inferior to the unsupervised method.
The proposed supervised method is a two-step process.
Here, we try to improve the classification accuracy of SVM, this is a supervised task, so PLS a supervised method is superior to PCA, an unsupervised method.
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The methods showed large differences in prediction accuracy but the supervised method was found to perform best, despite the parameters of the unsupervised methods having been optimized.
There were 522 kinase genes analyzed by nCounter assay and a supervised method was used to find statistically significant differentially expressed genes between patients with and without the disease control for CI.
Using the 10-marker classifiers, the GGA-based supervised method was subsequently applied to a series of 101 Test Set samples, with optimal quality control criteria, for which the leukemic blast load was originally below 60percentt or had been artificially lowered to less than 60percentt blasts by dilution series.
The main disadvantage of these supervised methods is their dependency on labeling data.
An advantage of supervised methods is their ability to adapt and create trained models for specific purposes and contexts.
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