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» Landscape of Clustering Algorithms
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SIGPRO
2008
74views more  SIGPRO 2008»
15 years 5 months ago
Speaker segmentation and clustering
This survey focuses on two challenging speech processing topics, namely: speaker segmentation and speaker clustering. Speaker segmentation aims at finding speaker change points in...
Margarita Kotti, Vassiliki Moschou, Constantine Ko...
147
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AAAI
2000
15 years 6 months ago
Multivariate Clustering by Dynamics
We present a Bayesian clustering algorithm for multivariate time series. A clustering is regarded as a probabilistic model in which the unknown auto-correlation structure of a tim...
Marco Ramoni, Paola Sebastiani, Paul R. Cohen
SDM
2009
SIAM
225views Data Mining» more  SDM 2009»
16 years 2 months ago
Integrated KL (K-means - Laplacian) Clustering: A New Clustering Approach by Combining Attribute Data and Pairwise Relations.
Most datasets in real applications come in from multiple sources. As a result, we often have attributes information about data objects and various pairwise relations (similarity) ...
Fei Wang, Chris H. Q. Ding, Tao Li
GECCO
2006
Springer
166views Optimization» more  GECCO 2006»
15 years 8 months ago
Comparing genetic robustness in generational vs. steady state evolutionary algorithms
Previous research has shown that evolutionary systems not only try to develop solutions that satisfy a fitness requirement, but indirectly attempt to develop genetically robust so...
Josh Jones, Terry Soule
GECCO
2007
Springer
241views Optimization» more  GECCO 2007»
15 years 11 months ago
Binary ant algorithm
When facing dynamic optimization problems the goal is no longer to find the extrema, but to track their progression through the space as closely as possible. Over these kind of ov...
Carlos Fernandes, Agostinho C. Rosa, Vitorino Ramo...