Re: Clustering / Classification
- From: "PARTICLEREDDY (STRAYDOG)" <particlereddy@xxxxxxxxx>
- Date: 21 Mar 2007 12:09:39 -0700
hi nadav,
i think this program should do
http://www.mathworks.com/matlabcentral/fileexchange/loadFile.do?objectId=71&objectType=file
particle reddy
On Mar 19, 11:13 am, "Nadav" <nadav...@xxxxxxxxx> wrote:
Hi,
I have a huge NxN ( thousands of elements ) correlation matrix, I need
to cluster this data ( of N elements ) to X groups of the most similar
items, this can be done using K-Means & friends though it would take
allot of time, I wonder, taking in mind I already have the correlation
matrix ( hence the similarity of each element to the other ) is there
a way, more efficient then K-means ( and friends ) to cluster the data
to X groups ?
Any help would be appreciated.
Thanks,
Nadav Rubinstein.
.
- References:
- Clustering / Classification
- From: Nadav
- Clustering / Classification
- Prev by Date: Re: accessing memory addresses using C
- Next by Date: Re: Accuracy of Fixed-Point Frequency-Domain Filtering
- Previous by thread: Clustering / Classification
- Next by thread: comparing audio signals to determine delay
- Index(es):
Relevant Pages
|