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The classification was performed in a semi-supervised manner. The average classification accuracy for different numbers of labelled samples is presented in this figure. We obtained a 70.3% classification accuracy with only 1% labelled samples which corresponds to 34 labelled samples per class. With the increase in labelled samples, the average accuracy increases, and it reaches 97.4% with 10% labelled samples. The accuracy further increases and reaches 99.6% with 50% labelled samples.
The confusion matrix with 50% labelled samples is presented in this figure. As you can see we obtained a good classification performance.
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IEEE/ICACT20230149 Slide.12
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