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» Optimization and Simplification of Hierarchical Clusterings
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ISCC
2006
IEEE
129views Communications» more  ISCC 2006»
14 years 1 months ago
FACT: A New Fuzzy Adaptive Clustering Technique
Clustering belongs to the set of mathematical problems which aim at classification of data or objects into related sets or classes. Many different pattern clustering approaches bas...
Faezeh Ensan, Mohammad Hossien Yaghmaee, Ebrahim B...
ESANN
2007
13 years 8 months ago
Agglomerative Independent Variable Group Analysis
Independent Variable Group Analysis (IVGA) is a method for grouping dependent variables together while keeping mutually independent or weakly dependent variables in separate group...
Antti Honkela, Jeremias Seppä, Esa Alhoniemi
ACCV
2010
Springer
13 years 2 months ago
Optimizing Visual Vocabularies Using Soft Assignment Entropies
The state of the art for large database object retrieval in images is based on quantizing descriptors of interest points into visual words. High similarity between matching image r...
Yubin Kuang, Kalle Åström, Lars Kopp, M...
BTW
2003
Springer
109views Database» more  BTW 2003»
14 years 19 days ago
Transbase: a Leading-edge ROLAP Engine Supporting Multidimensional Indexing and Hierarchy Clustering
: Analysis-oriented database applications, such as data warehousing or customer relationship management, play a crucial role in the database area. In general, the multidimensional ...
Roland Pieringer, Klaus Elhardt, Frank Ramsak, Vol...
ICCAD
1997
IEEE
90views Hardware» more  ICCAD 1997»
13 years 11 months ago
A hierarchical decomposition methodology for multistage clock circuits
† This paper describes a novel methodology to automate the design of the interconnect distribution for multistage clock circuits. We introduce two key ideas. First, a hierarchica...
Gary Ellis, Lawrence T. Pileggi, Rob A. Rutenbar