the paper is quite well cited (500):
http://scholar.google.com/scholar?q=Combining%20multiple%20clusterings%20using%20evidence%20accumulation&btnG=Search&as_sdt=800000000001&as_sdtp=on
I thought the idea was to add (some of) the ensemble methods described
in the paper, which are meta-algorithms that could build on any of the
methods we already have,
as far as I understand.
On 02/18/2015 04:06 AM, Ronnie Ghose wrote:
is there clear use for this clustering method and a sizable number of
citations and obviously performance/accuracy/something benefits that
warrant the time & maitenance cost then?
Also by that @andreas, I'm not seeing a list of clustering methods to
be added, right now it seems unbounded - i don't like unbounded
scopes, they dont make for good project topics
On Wed, Feb 18, 2015 at 5:22 AM, Gael Varoquaux
<gael.varoqu...@normalesup.org <mailto:gael.varoqu...@normalesup.org>>
wrote:
On Tue, Feb 17, 2015 at 04:42:11PM -0800, Andy wrote:
> On 02/13/2015 07:08 AM, Ronnie Ghose wrote:
> > -1 we would have to build in support for more clustering methods
> > ,sounds like a not-very-standalone proj
> Why? We already have a bunch, right?
I agree with Andreas that any addition should be motivated: the new
clustering method should bring something to the existing ones. It
should
be different in some way, and have a clear benefit (pointing to a
paper
isn't enough to demonstrate a benefit, the benefit should be easy to
explain and demonstrated many times).
Gaël
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