Analysis of Graphic Perception Education for Young Children Based on Fuzzy Clustering Analysis

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Algorithm</td><td class="align_center">FCM</td><td class="align_center">Improved algorithm</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">Split time (s)</td><td class="align_center">189.26</td><td class="align_center">17.78</td></tr><tr><td class="align_left">Cluster center</td><td class="align_center">24, 88, 137, 176</td><td class="align_center">24, 90, 138, 177</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Comparison of segmentation results of Lena image polluted by the noise by two algorithms.</div>

Computational Intelligence and Neuroscience

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Table 2

Table 2: Analysis of Graphic Perception Education for Young Children Based on Fuzzy Clustering Analysis 