Statistical shape analysis is a geometrical analysis from a set of shapes in which statistics are measured to describe geometrical properties from similar shapes or different groups, for instance, the difference between male and female Gorilla skull shapes, normal and pathological bone shapes, etc. Some of the important aspects of shape analysis are to obtain a measure of distance between shapes, to estimate average shapes from a (possibly random) sample, also called mean shape, and to estimate shape variability in a sample. One of the main methods used is principal component analysis. Also some procedures for testing the differences of shapes are used, even for small samples. Some applications of Shape Analysis on oncology, on sensor measurement and on geographical profiling are already made
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Famous quotes containing the words analysis and/or shape:
“Analysis as an instrument of enlightenment and civilization is good, in so far as it shatters absurd convictions, acts as a solvent upon natural prejudices, and undermines authority; good, in other words, in that it sets free, refines, humanizes, makes slaves ripe for freedom. But it is bad, very bad, in so far as it stands in the way of action, cannot shape the vital forces, maims life at its roots. Analysis can be a very unappetizing affair, as much so as death.”
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—Anonymous Parent of An Eight-Year-Old. As quoted in Between Generations by Ellen Galinsky, ch. 4 (1981)