This sounds interesting.
Can someone how is familiar with this method maybe chime in?
Many of the large scale clustering methods are more from the data mining
community and not discussed that much in the machine learning community,
unfortunately.
I haven't heard of the method and it is hard for
Hi Andreas,
Looking through the literature, DBCLASD has been a constant reference both
for practical applications and benchmark papers that are as recent as 2014
(see for example "A Survey of Clustering Algorithms for Big Data: Taxonomy
and Empirical Analysis" or "A new clustering algorithm with a
Hi Sebastian.
Have you seen this used much recently? How does it compare against
DBSCAN, BIRCH, OPTICS or just KMeans?
Cheers,
Andy
On 07/31/2015 10:28 AM, Sebastián Palacio wrote:
Hello all,
I've been investigating clustering algorithms with special interest in
non-parametric methods and,
Hello all,
I've been investigating clustering algorithms with special interest in
non-parametric methods and, one that is being mentioned quite often is
DBCLASD [1]. I've looked around but I haven't been able to find one single
implementation of this algorithm whatsoever so I decided to implement
