e/Self-similarity matrix

Information
has gloss	eng: 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.
lexicalization	eng: Self-similarity matrix
instance of	c/Statistical charts and diagrams

Media
media:img	Junejoetal ssm eccv08.jpg