149 search results - page 9 / 30 » Unsupervised clustering using hyperclique pattern constraint... |
ECML
2006
Springer
13 years 10 months ago
2006
Springer
Semi-supervised clustering uses the limited background knowledge to aid unsupervised clustering algorithms. Recently, a kernel method for semi-supervised clustering has been introd...
SSPR
2004
Springer
14 years 11 days ago
2004
Springer
We present a novel clustering method using HMM parameter space and eigenvector decomposition. Unlike the existing methods, our algorithm can cluster both constant and variable leng...
BVAI
2005
Springer
14 years 14 days ago
2005
Springer
We propose an algorithm that groups points similarly to how human observers do. It is simple, totally unsupervised and able to find clusters of complex and not necessarily convex s...
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
We propose an approach for learning visual models of object categories in an unsupervised manner in which we first build a large-scale complex network which captures the interacti...
DAGSTUHL
2007
13 years 8 months ago
2007
It is well known that local patterns are at the core of a lot of knowledge which may be discovered from data. Nevertheless, use of local patterns is limited by their huge number an...