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Self-similarity matrix
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<p>In <a href="/facts/Data_analysis/CNtARxLW">data analysis</a>, the self-similarity matrix is a graphical representation of <a href="/facts/Similarity_measure/FmmFco8c">similar</a> sequences in a data series. </p><p>Similarity can be explained by different measures, like spatial distance (<a href="/facts/Distance_matrix/2ptk07Y7">distance matrix</a>), <a href="/facts/Correlation/egkluAEm">correlation</a>, or comparison of local <a href="/facts/Histogram/oMmvqGEA">histograms</a> or <a href="/facts/Spectral_properties/8TjEoT8u">spectral properties</a> (e.g. IXEGRAM). A similarity plot can be the starting point for <a href="/facts/Dot_plot_(bioinformatics)/7zhgPAGd">dot plots</a> or <a href="/facts/Recurrence_plots/AxSDcekL">recurrence plots</a>. </p>