60 search results - page 1 / 12 » Density geodesics for similarity clustering |
ICASSP
2008
IEEE
13 years 11 months ago
2008
IEEE
We address the problem of similarity metric selection in pairwise affinity clustering. Traditional techniques employ standard algebraic context-independent sample-distance measur...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
We present a polytope-kernel density estimation (PKDE) methodology that allows us to perform exact mean-shift updates along the edges of the Delaunay graph of the data. We discuss...
ICPR
2008
IEEE
14 years 6 months ago
2008
IEEE
We introduce a class of geodesic distances and extend the K-means clustering algorithm to employ this distance metric. Empirically, we demonstrate that our geodesic K-means algori...
PAKDD
2007
ACM
13 years 11 months ago
2007
ACM
In this study, we propose a novel evolutionary algorithm-based clustering method, named density-sensitive evolutionary clustering (DSEC). In DSEC, each individual is a sequence of ...
AUSAI
2006
Springer
13 years 8 months ago
2006
Springer
The unsupervised nature of cluster analysis means that objects can be clustered in many different ways. This means that different clustering algorithms can lead to vastly different...