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» Similarity measures for multidimensional data
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158
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CCGRID
2010
IEEE
15 years 4 months ago
High Performance Dimension Reduction and Visualization for Large High-Dimensional Data Analysis
Abstract--Large high dimension datasets are of growing importance in many fields and it is important to be able to visualize them for understanding the results of data mining appro...
Jong Youl Choi, Seung-Hee Bae, Xiaohong Qiu, Geoff...
144
Voted
ICDM
2007
IEEE
187views Data Mining» more  ICDM 2007»
15 years 10 months ago
Statistical Learning Algorithm for Tree Similarity
Tree edit distance is one of the most frequently used distance measures for comparing trees. When using the tree edit distance, we need to determine the cost of each operation, bu...
Atsuhiro Takasu, Daiji Fukagawa, Tatsuya Akutsu
116
Voted
SDM
2008
SIAM
97views Data Mining» more  SDM 2008»
15 years 5 months ago
Efficient Distribution Mining and Classification
We define and solve the problem of "distribution classification", and, in general, "distribution mining". Given n distributions (i.e., clouds) of multi-dimensi...
Yasushi Sakurai, Rosalynn Chong, Lei Li, Christos ...
142
Voted
BMCBI
2007
176views more  BMCBI 2007»
15 years 3 months ago
Correlation-maximizing surrogate gene space for visual mining of gene expression patterns in developing barley endosperm tissue
Background: Micro- and macroarray technologies help acquire thousands of gene expression patterns covering important biological processes during plant ontogeny. Particularly, fait...
Marc Strickert, Nese Sreenivasulu, Björn Usad...
134
Voted
MM
2009
ACM
199views Multimedia» more  MM 2009»
15 years 10 months ago
Signature quadratic form distances for content-based similarity
Determining similarity is a fundamental task in querying multimedia databases in a content-based way. For this challenging task, there exist numerous similarity models which measu...
Christian Beecks, Merih Seran Uysal, Thomas Seidl