Self-similarity matrix

In data analysis, the self-similarity matrix is a graphical representation of similar sequences in a data series. Similarity can be explained by different measures, like spatial distance (distance matrix), correlation, or comparison of local histograms or spectral properties (e.g. IXEGRAM). This technique is also applied for the search of a given pattern in a long data series as in gene matching. A similarity plot can be the starting point for dot plots or recurrence plots.

Example

See also

• Recurrence plot

References

• N. Marwan, M. C. Romano, M. Thiel, J. Kurths (2007). "Recurrence Plots for the Analysis of Complex Systems". Physics Reports 438 (5-6): 237. Bibcode 2007PhR...438..237M. doi:10.1016/j.physrep.2006.11.001. 

• I.N. Junejo, E. Dexter, I. Laptev, Patrick Pérez (2008). "Cross-View Action Recognition from Temporal Self-Similarities". In Proc. European Conference on Computer Vision (ECCV), Marseille, France.. 

• J. Foote (1999). "Visualizing Music and Audio using Self-Similarity". In: Proceedings of ACM Multimedia '99, Orlando, Florida.. 

• M. A. Casey (2002). B.S. Manjunath, P. Salembier and T. Sikora. ed. "Sound Classification and Similarity Tools". Introduction to MPEG-7: Multimedia Content Description Language (J. Wiley): 309–323. 

External links

• http://www.recurrence-plot.tk/related_methods.php