671 search results - page 15 / 135 » Mean shift-based clustering |
CORR
2008
Springer
13 years 7 months ago
2008
Springer
The k-means method is a widely used clustering algorithm. One of its distinguished features is its speed in practice. Its worst-case running-time, however, is exponential, leaving...
ESORICS
2005
Springer
14 years 1 months ago
2005
Springer
The freedom and transparency of information flow on the Internet has heightened concerns of privacy. Given a set of data items, clustering algorithms group similar items together...
KDD
2012
ACM
11 years 10 months ago
2012
ACM
Real-world, multiple-typed objects are often interconnected, forming heterogeneous information networks. A major challenge for link-based clustering in such networks is its potent...
ICONIP
2008
13 years 9 months ago
2008
In this paper we present a comparison of multiple cluster algorithms and their suitability for clustering text data. The clustering is based on similarities only, employing the Kol...
MICCAI
2009
Springer
14 years 8 months ago
2009
Springer
In functional Magnetic Resonance Imaging (fMRI) data analysis, normalization of time series is an important and sometimes necessary preprocessing step in many widely used methods. ...