A Method for Extracting Features of Modern Folk Opera Performance Art Based on Principal Component Analysis

<table class="table-group" id="tab6"><tr><td><table class="table"><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr class="thead"><td class="align_left" rowspan="2">PCA</td><td class="align_center" colspan="3">Recognition (%)</td></tr><tr class="thead"><td class="align_center" colspan="3">Contribution of principal components</td></tr><tr class="thead"><td class="align_left">Data</td><td class="align_center">25%</td><td class="align_center">50%</td><td class="align_center">75%</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td class="align_left">Experiment 1</td><td class="align_center">84</td><td class="align_center">87</td><td class="align_center">85</td></tr><tr><td class="align_left">Experiment 2</td><td class="align_center">78</td><td class="align_center">81</td><td class="align_center">80.5</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Feature recognition results under different principal component contribution rates.</div>

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Table 6

Table 6: A Method for Extracting Features of Modern Folk Opera Performance Art Based on Principal Component Analysis 