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» Distances between Data Sets Based on Summary Statistics
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PAMI
2008
197views more  PAMI 2008»
15 years 1 months ago
LEGClust - A Clustering Algorithm Based on Layered Entropic Subgraphs
Hierarchical clustering is a stepwise clustering method usually based on proximity measures between objects or sets of objects from a given data set. The most common proximity meas...
Jorge M. Santos, Joaquim Marques de Sá, Lu&...
BMCBI
2004
111views more  BMCBI 2004»
15 years 1 months ago
Multiclass discovery in array data
Background: A routine goal in the analysis of microarray data is to identify genes with expression levels that correlate with known classes of experiments. In a growing number of ...
Yingchun Liu, Markus Ringnér
ICPR
2006
IEEE
16 years 3 months ago
Dissimilarity-based classification for vectorial representations
General dissimilarity-based learning approaches have been proposed for dissimilarity data sets [11, 10]. They arise in problems in which direct comparisons of objects are made, e....
Elzbieta Pekalska, Robert P. W. Duin
ITC
2000
IEEE
88views Hardware» more  ITC 2000»
15 years 6 months ago
Predicting device performance from pass/fail transient signal analysis data
Transient Signal Analysis (TSA) is a Go/No-Go device testing method that is based on the analysis of voltage transients at multiple test points. In this paper, a technique based o...
James F. Plusquellic, Amy Germida, Jonathan Hudson...
KDD
1998
ACM
84views Data Mining» more  KDD 1998»
15 years 6 months ago
Similarity of Attributes by External Probes
In data mining, similarity or distance between attributes is one of the central notions. Such a notion can be used to build attribute hierarchies etc. Similarity metrics can be us...
Gautam Das, Heikki Mannila, Pirjo Ronkainen