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PAMI
2008
197views more  PAMI 2008»
15 years 5 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 5 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 7 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 10 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 10 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