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» A Method for Dynamic Clustering of Data
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ISBI
2004
IEEE
16 years 5 months ago
Level Set Methods for Dynamic Tomography
In this paper, we propose a novel variational framework for the reconstruction of dynamic objects from sparse and noisy tomographic data. Using an object-based scene model, we dev...
Yonggang Shi, William Clement Karl
BMCBI
2005
122views more  BMCBI 2005»
15 years 4 months ago
A microarray data-based semi-kinetic method for predicting quantitative dynamics of genetic networks
Background: Elucidating the dynamic behaviour of genetic regulatory networks is one of the most significant challenges in systems biology. However, conventional quantitative predi...
Katsuyuki Yugi, Yoichi Nakayama, Shigen Kojima, To...
EP
1998
Springer
15 years 8 months ago
Generating, Visualizing, and Evaluating High-Quality Clusters for Information Organization
We present and analyze the star clustering algorithm. We discuss an implementation of this algorithm that supports browsing and document retrieval through information organization...
Javed A. Aslam, Katya Pelekhov, Daniela Rus
BIBE
2004
IEEE
120views Bioinformatics» more  BIBE 2004»
15 years 8 months ago
Identifying Projected Clusters from Gene Expression Profiles
In microarray gene expression data, clusters may hide in subspaces. Traditional clustering algorithms that make use of similarity measurements in the full input space may fail to ...
Kevin Y. Yip, David W. Cheung, Michael K. Ng, Kei-...
TASLP
2008
143views more  TASLP 2008»
15 years 4 months ago
Strategies to Improve the Robustness of Agglomerative Hierarchical Clustering Under Data Source Variation for Speaker Diarizatio
Many current state-of-the-art speaker diarization systems exploit agglomerative hierarchical clustering (AHC) as their speaker clustering strategy, due to its simple processing str...
K. J. Han, S. Kim, S. S. Narayanan