ISODATA initial cluster seeding - NV5 Geospatial

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Last Post 11 Jun 2011 02:06 PM by anon

ISODATA initial cluster seeding

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anon

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11 Jun 2011 02:06 PM
I have a question about how initial cluster seeding is performed by the ISODATA algorithm as implemented in ENVI. The only description I've been able to find is that it "calculates class means evenly distributed in the data space." Does anyone know how many cluster centres are calculated during the initial seeding? As in, if 5 is the minimum number of classes specified by the user, does the algorithm calculate five initial cluster centroids that are evenly distributed throughout the data?

MariM

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13 Jun 2011 11:15 AM
It looks like it starts with (max class+min class) / 2 with a minimum of 1.

Deleted User

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21 Jun 2011 11:18 AM
Did you figure that out by just looking at the IDL code, or is it in a published reference somewhere that I could cite? Either way - good to know, many thanks!

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