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» A Method for Dynamic Clustering of Data
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ICMLA
2008
15 years 1 months ago
Farthest Centroids Divisive Clustering
A method is presented to partition a given set of data entries embedded in Euclidean space by recursively bisecting clusters into smaller ones. The initial set is subdivided into ...
Haw-ren Fang, Yousef Saad
IJUFKS
2007
108views more  IJUFKS 2007»
14 years 11 months ago
Resampling for Fuzzy Clustering
Abstract. Resampling methods are among the best approaches to determine the number of clusters in prototype-based clustering. The core idea is that with the right choice for the nu...
Christian Borgelt
ICASSP
2011
IEEE
14 years 3 months ago
Dynamic selection of a speech enhancement method for robust speech recognition in moving motorcycle environment
We present a speech pre-processing scheme (SPPS) for robust speech recognition in the moving motorcycle environment. The SPPS is dynamically adapted during the run-time operation ...
Iosif Mporas, Todor Ganchev, Otilia Kocsis, Nikos ...
KDD
2002
ACM
122views Data Mining» more  KDD 2002»
16 years 7 days ago
Hierarchical model-based clustering of large datasets through fractionation and refractionation
The goal of clustering is to identify distinct groups in a dataset. Compared to non-parametric clustering methods like complete linkage, hierarchical model-based clustering has th...
Jeremy Tantrum, Alejandro Murua, Werner Stuetzle
PKDD
2010
Springer
146views Data Mining» more  PKDD 2010»
14 years 9 months ago
Nonparametric Bayesian Clustering Ensembles
Forming consensus clusters from multiple input clusterings can improve accuracy and robustness. Current clustering ensemble methods require specifying the number of consensus clust...
Pu Wang, Carlotta Domeniconi, Kathryn Blackmond La...