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177
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DMKD
1997
ACM
15 years 7 months ago
1997
ACM
Partitioning a large set of objects into homogeneous clusters is a fundamental operation in data mining. The k-means algorithm is best suited for implementing this operation becau...
104
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SSDBM
2003
IEEE
15 years 8 months ago
2003
IEEE
It is now common to encounter communities engaged in the collaborative analysis and transformation of large quantities of data over extended time periods. We argue that these comm...
126
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DIS
2006
Springer
15 years 7 months ago
2006
Springer
Parametric Embedding (PE) has recently been proposed as a general-purpose algorithm for class visualisation. It takes class posteriors produced by a mixture-based clustering algori...
177
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LCPC
2009
Springer
15 years 7 months ago
2009
Springer
Abstract. Intervals are a new, higher-level primitive for parallel programming with which programmers directly construct the program schedule. Programs using intervals can be stati...
127
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AMAST
2008
Springer
15 years 5 months ago
2008
Springer
The authors have proposed using category-theoretic sketches to enhance database design and integration methodologies. The algebraic context is called the Sketch Data Model (SkDM) a...