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CSDA
2010
105views more  CSDA 2010»
13 years 10 months ago
James-Stein shrinkage to improve k-means cluster analysis
We study a general algorithm to improve accuracy in cluster analysis that employs the James-Stein shrinkage effect in k-means clustering. We shrink the centroids of clusters towar...
Jinxin Gao, David B. Hitchcock
JGTOOLS
2008
100views more  JGTOOLS 2008»
13 years 10 months ago
Proximity Cluster Trees
Hierarchical spatial data structures provide a means for organizing data for efficient processing. Most spatial data structures are optimized for performing queries, such as inters...
Elena Jakubiak Hutchinson, Sarah F. Frisken, Ronal...
HIPC
2009
Springer
13 years 7 months ago
Fast checkpointing by Write Aggregation with Dynamic Buffer and Interleaving on multicore architecture
Large scale compute clusters continue to grow to ever-increasing proportions. However, as clusters and applications continue to grow, the Mean Time Between Failures (MTBF) has redu...
Xiangyong Ouyang, Karthik Gopalakrishnan, Tejus Ga...
JAIR
2011
138views more  JAIR 2011»
13 years 5 months ago
Identifying Aspects for Web-Search Queries
Many web-search queries serve as the beginning of an exploration of an unknown space of information, rather than looking for a specific web page. To answer such queries effectiv...
Fei Wu, Jayant Madhavan, Alon Y. Halevy
JMLR
2010
141views more  JMLR 2010»
13 years 4 months ago
Hierarchical Gaussian Process Regression
We address an approximation method for Gaussian process (GP) regression, where we approximate covariance by a block matrix such that diagonal blocks are calculated exactly while o...
Sunho Park, Seungjin Choi