Hi Denis.
That is weird. Unfortunately I don't have time to investigate ATM.
Maybe someone else does?
Also, I thought we would reinitialize clusters with zero points?

Cheers,
Andy

----- Ursprüngliche Mail -----
Von: "denis" <[email protected]>
An: [email protected]
Gesendet: Montag, 10. September 2012 09:52:07
Betreff: Re: [Scikit-learn-general] MiniBatchKMeans on optdigits: 10 classes in 
.11, only 8 in .12 ?

Hi Nelle, hi Andreas,
   the runs were with random_state=0;
running test-mbkmeans.py (does it make sense ?)
with seeds 0 .. 5 changing only sklearn version -->

test-mbkmeans.py 10sep
MiniBatchKMeans( seed 0 .. 5 )
datasets.load_digits()

scikit-learn .11 --
cluster sizes MiniBatchKmeans: [275 195 181 178 173 173 172 166 145 139]
cluster sizes MiniBatchKmeans: [365 181 178 174 174 168 167 151 133 106]
cluster sizes MiniBatchKmeans: [388 249 188 179 178 168 165 124  91  67]
cluster sizes MiniBatchKmeans: [382 194 183 182 178 172 153 149 113  91]
cluster sizes MiniBatchKmeans: [255 250 201 181 178 178 174 168 109 103]

scikit-learn .12 --
cluster sizes MiniBatchKmeans: [423 263 201 189 181 181 180 179]
cluster sizes MiniBatchKmeans: [256 250 245 243 236 199 192 176]
cluster sizes MiniBatchKmeans: [450 352 263 183 181 178 143  47]
cluster sizes MiniBatchKmeans: [395 300 248 192 188 188 176 110]
cluster sizes MiniBatchKmeans: [378 313 246 199 187 179 175 120]

cheers
   -- denis

On 10/09/2012 10:37, Andreas Mueller wrote:
> On 09/10/2012 09:31 AM, Nelle Varoquaux wrote:

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