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GLOBECOM
2006
IEEE
15 years 3 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...
KBS
2006
150views more  KBS 2006»
14 years 9 months ago
Clusterer ensemble
Ensemble methods that train multiple learners and then combine their predictions have been shown to be very effective in supervised learning. This paper explores ensemble methods ...
Zhi-Hua Zhou, Wei Tang
INFSOF
2007
101views more  INFSOF 2007»
14 years 9 months ago
Clustering large software systems at multiple layers
Software clustering algorithms presented in the literature rarely incorporate in the clustering process dynamic information, such as the number of function invocations during runt...
Bill Andreopoulos, Aijun An, Vassilios Tzerpos, Xi...
84
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ICDM
2006
IEEE
100views Data Mining» more  ICDM 2006»
15 years 3 months ago
Meta Clustering
Clustering is ill-defined. Unlike supervised learning where labels lead to crisp performance criteria such as accuracy and squared error, clustering quality depends on how the cl...
Rich Caruana, Mohamed Farid Elhawary, Nam Nguyen, ...
IPM
2002
92views more  IPM 2002»
14 years 9 months ago
The effectiveness of query-specific hierarchic clustering in information retrieval
Hierarchic document clustering has been widely applied to Information Retrieval (IR) on the grounds of its potential improved effectiveness over inverted file search. However, pre...
Anastasios Tombros, Robert Villa, C. J. van Rijsbe...