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» Fast Hierarchical Clustering Based on Compressed Data
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NIPS
2003
13 years 9 months ago
Learning the k in k-means
When clustering a dataset, the right number k of clusters to use is often not obvious, and choosing k automatically is a hard algorithmic problem. In this paper we present an impr...
Greg Hamerly, Charles Elkan
TSMC
1998
96views more  TSMC 1998»
13 years 7 months ago
The MDS-ANAVA technique for assessing knowledge representation differences between skill groups
—Knowledge representation is one of important factors that determine human performance on cognitive tasks. Due to different levels of experience, different groups of people may d...
Nong Ye
ASAP
2000
IEEE
90views Hardware» more  ASAP 2000»
14 years 3 days ago
Subword Permutation Instructions for Two-Dimensional Multimedia Processing in MicroSIMD Architectures
MicroSIMD architectures incorporating subword parallelism are very efficient for application-specific media processors as well as for fast multimedia information processing in gen...
Ruby B. Lee
ICDE
2005
IEEE
154views Database» more  ICDE 2005»
14 years 9 months ago
Deep Store: an Archival Storage System Architecture
We present the Deep Store archival storage architecture, a large-scale storage system that stores immutable data efficiently and reliably for long periods of time. Archived data i...
Lawrence You, Kristal T. Pollack, Darrell D. E. Lo...
JIIS
2006
113views more  JIIS 2006»
13 years 7 months ago
Spatial ordering and encoding for geographic data mining and visualization
: Geographic information (e.g., locations, networks, and nearest neighbors) are unique and different from other aspatial attributes (e.g., population, sales, or income). It is a ch...
Diansheng Guo, Mark Gahegan