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» On the Number of Birch Partitions
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TKDE
2008
197views more  TKDE 2008»
13 years 4 months ago
Agglomerative Fuzzy K-Means Clustering Algorithm with Selection of Number of Clusters
In this paper, we present an agglomerative fuzzy K-Means clustering algorithm for numerical data, an extension to the standard fuzzy K-Means algorithm by introducing a penalty term...
Mark Junjie Li, Michael K. Ng, Yiu-ming Cheung, Jo...
CODES
2010
IEEE
13 years 1 months ago
Automatic memory partitioning: increasing memory parallelism via data structure partitioning
In high-level synthesis, pipelined designs are often restricted by the number of memory banks available to the synthesis system. Using multiple memory banks can improve the perfor...
Yosi Ben-Asher, Nadav Rotem
DSD
2002
IEEE
97views Hardware» more  DSD 2002»
13 years 9 months ago
Recursive Bi-Partitioning of Netlists for Large Number of Partitions
Rolf Drechsler, Wolfgang Günther, Thomas Esch...
ICMLA
2008
13 years 6 months ago
Comparison of Evaluation Metrics in Classification Applications with Imbalanced Datasets
A new framework is proposed for comparing evaluation metrics in classification applications with imbalanced datasets (i.e., the probability of one class vastly exceeds others). Fo...
Mehrdad Fatourechi, Rabab K. Ward, Steven G. Mason...
GFKL
2005
Springer
95views Data Mining» more  GFKL 2005»
13 years 10 months ago
An Indicator for the Number of Clusters: Using a Linear Map to Simplex Structure
Abstract. The problem of clustering data can be formulated as a graph partitioning problem. In this setting, spectral methods for obtaining optimal solutions have received a lot of...
Marcus Weber, Wasinee Rungsarityotin, Alexander Sc...