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h12
2000 Dec 05
0
calculation of inertial difference with huygens theorem in ward clustering ?
Hello to the R people,
within ward clustering the distance calculated to decide the clustering
of 2 subsets (h1 and h2) is the variation of inertia :
d(h1,h2)=I(h1Uh2)-I(h1)-I(h2);
i've been said that a way to calculate faster this d(h1,h2) is using the
huygens theorem decomposing the inertia into "the inertia to the
centroid + the distance to an axe" (that's my version ...). My problem
is that i don't really see how to simplify the d(h1,h2...