1110 search results - page 16 / 222 » Clustering with the Connectivity Kernel |
ICCV
2009
IEEE
15 years 15 days ago
2009
IEEE
Mean shift clustering is a powerful unsupervised data
analysis technique which does not require prior knowledge
of the number of clusters, and does not constrain the shape
of th...
IJCAI
2003
13 years 9 months ago
2003
We present a coherent framework for data clustering. Starting with a Hopfield network, we show the solutions for several well-motivated clustering objective functions are principa...
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
This paper introduces a method for clustering complex and linearly non-separable datasets, without any prior knowledge of the number of naturally occurring clusters. The proposed ...
PAMI
2007
13 years 7 months ago
2007
—A variety of clustering algorithms have recently been proposed to handle data that is not linearly separable; spectral clustering and kernel k-means are two of the main methods....
CLUSTER
2002
IEEE
14 years 15 days ago
2002
IEEE
With applications becoming larger and the increasing load on high performance systems, it is important to tackle the I/O bottleneck problem from several angles. It is not only ess...