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Notes from the biomass will continue at nftb.net. My...
spitshine - 2006-07-16 13:11
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OK, you got me. While technically not blogging at the...
spitshine - 2006-07-07 10:55
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Greetings from another HBS-founder (media-ocean.de)....
freshjive - 2006-06-15 20:06
HBS manifesto will be...
Hi there! I am one of the hard blogging scientsts. We...
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Things to do when you're not blogging: Taking care...
spitshine - 2006-04-29 18:46

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The internet is changing... Powerpoint Karaoke
Quantifying the error...

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Credits

Evaluating clustering results

The current issue of Bioinformatics starts of with the very useful review of the evaluation of clustering results.

Clustering is easy: You always get a result that can be called a success by one measure or the other. The authors of the review consider mathematical properties of the solutions and show how to compare them amongst each other.

It is a handy reference for your next clustering problem - with all the high (and medium) throughput data pouring out of the labs into the bioinformatics offices, there is a steady interest in such techniques. Even if clustering often fails to explain much of the data.

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Last update: 2006-07-16 13:11

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