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» An overview of clustering methods
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CSDA
2007
103views more  CSDA 2007»
13 years 8 months ago
Cluster-wise assessment of cluster stability
Stability in cluster analysis is strongly dependent on the data set, especially on how well separated and how homogeneous the clusters are. In the same clustering, some clusters m...
Christian Hennig
GLOBECOM
2006
IEEE
14 years 2 months ago
Cluster-Based MIMO Channel Model Parameters Extracted from Indoor Time-Variant Measurements
— This paper presents a complete solution to the problem of how to parametrise cluster-based stochastic MIMO channel models from measurement data, with minimum user intervention....
Nicolai Czink, Ernst Bonek, Lassi Hentila, Jukka-P...
LREC
2010
162views Education» more  LREC 2010»
13 years 10 months ago
Text Cluster Trimming for Better Descriptions and Improved Quality
Text clustering is potentially very useful for exploration of text sets that are too large to study manually. The success of such a tool depends on whether the results can be expl...
Magnus Rosell
VISSYM
2004
13 years 10 months ago
A Botanically Inspired High-Dimensional Visualization with Multivariate Glyphs
It is difficult for the average viewer to assimilate and comprehend huge amounts of high-dimensional data. It is important to present data in a way that allows the user a high lev...
Eleanor Boyle Chlan, Penny Rheingans
DIS
2006
Springer
14 years 10 days ago
A Novel Framework for Discovering Robust Cluster Results
We propose a novel method, called heterogeneous clustering ensemble (HCE), to generate robust clustering results that combine multiple partitions (clusters) derived from various cl...
Hye-Sung Yoon, Sang-Ho Lee, Sung-Bum Cho, Ju Han K...