They are replaced by the two impls RandomAccessSparseVector or SequentialAccessSparseVector
On Thu, Feb 25, 2010 at 9:10 AM, Arshad Khan <[email protected]>wrote: > Thanks for the quick reply. > > I have downloaded the latest 0.3 code. There seems to be significant > changes > in this version. For example, currently I am using > org.apache.mahout.matrix.SparseVector class but in 0.3 I cannot find this > class. > > What class it is replaced with? > > Thanks > > On Thu, Feb 25, 2010 at 10:12 AM, Ted Dunning <[email protected]> > wrote: > > > There are known problems with that version of k-means. > > > > Try using the trunk version. 0.3 is very close and we are entering code > > freeze for that so you should be fine with the latest version. > > > > On Wed, Feb 24, 2010 at 5:46 PM, Arshad Khan <[email protected] > > >wrote: > > > > > Hello > > > > > > I am using Mahout 0.2 implementation of KMeans in one of my Text Mining > > > project. I apply KMeans with a default K value of 4. It seems that > every > > > time I repeat the clustering process on the same data set, the results > > are > > > different and difference (in terms of cluster size and membership) is > > great > > > from run to run. The initial set of centroid points are chosen randomly > > > through RandomSeedGenerator. Is there a way to obtain more consistent > > > results that do not differ so greatly? Or may be I am doing something > > > wrong? > > > > > > Any help or idea is very much appreciated. > > > > > > Thanks and Regards > > > Arshad > > > > > > > > > > > -- > > Ted Dunning, CTO > > DeepDyve > > >
