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: ------------------------------------------------------------------------------ Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/ _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
