22 search results - page 2 / 5 » Constrained clustering by a novel graph-based distance trans... |
SDMW
2004
Springer
13 years 10 months ago
2004
Springer
Abstract. In this paper, we address the problem of protecting the underlying attribute values when sharing data for clustering. The challenge is how to meet privacy requirements an...
DATAMINE
2007
13 years 5 months ago
2007
Many high level representations of time series have been proposed for data mining, including Fourier transforms, wavelets, eigenwaves, piecewise polynomial models etc. Many researc...
SSDBM
2009
IEEE
14 years 1 days ago
2009
IEEE
Abstract. With the drastic increase of object trajectory data, the analysis and exploration of trajectories has become a major research focus with many applications. In particular,...
ICCV
2009
IEEE
14 years 10 months 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...
EDBT
2008
ACM
14 years 5 months ago
2008
ACM
Due to the well-known dimensionality curse problem, search in a high-dimensional space is considered as a "hard" problem. In this paper, a novel symmetrical encoding-bas...