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» Clustering with or without the Approximation
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CF
2004
ACM
15 years 3 months ago
Integrated temporal and spatial scheduling for extended operand clustered VLIW processors
Centralized register file architectures scale poorly in terms of clock rate, chip area, and power consumption and are thus not suitable for consumer electronic devices. The conse...
Rahul Nagpal, Y. N. Srikant
CLUSTER
2002
IEEE
14 years 9 months ago
CEJVM: "Cluster Enabled Java Virtual Machine"
CEJVM is a cluster enabled Java Virtual Machine, which executes in a distributed fashion among collaborating nodes of a dedicated cluster. It extends Java`s multithreading mechani...
Muhammad Umar Janjua, Mehboob Yasin, Ch. Falak She...
ISNN
2011
Springer
14 years 22 days ago
Orthogonal Feature Learning for Time Series Clustering
This paper presents a new method that uses orthogonalized features for time series clustering and classification. To cluster or classify time series data, either original data or...
Xiaozhe Wang, Leo Lopes
BMCBI
2008
117views more  BMCBI 2008»
14 years 10 months ago
New resampling method for evaluating stability of clusters
Background: Hierarchical clustering is a widely applied tool in the analysis of microarray gene expression data. The assessment of cluster stability is a major challenge in cluste...
Irina Gana Dresen, Tanja Boes, Johannes Hüsin...
DATAMINE
2006
89views more  DATAMINE 2006»
14 years 9 months ago
Scalable Clustering Algorithms with Balancing Constraints
Clustering methods for data-mining problems must be extremely scalable. In addition, several data mining applications demand that the clusters obtained be balanced, i.e., be of ap...
Arindam Banerjee, Joydeep Ghosh