Research on Audit Opinion Prediction of Listed Companies Based on Sparse Principal Component Analysis and Kernel Fuzzy Clustering Algorithm

<div>Index values of different sample matching methods under four data sets. (a) Data set I (b) Data set II (c) Data set III (d) Data set IV.</div>

Mathematical Problems in Engineering

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Figure 3: Research on Audit Opinion Prediction of Listed Companies Based on Sparse Principal Component Analysis and Kernel Fuzzy Clustering Algorithm 

Figure 3 | Research on Audit Opinion Prediction of Listed Companies Based on Sparse Principal Component Analysis and Kernel Fuzzy Clustering Algorithm 