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PAKDD
2005
ACM
120views Data Mining» more  PAKDD 2005»
14 years 3 months ago
Speeding-Up Hierarchical Agglomerative Clustering in Presence of Expensive Metrics
In several contexts and domains, hierarchical agglomerative clustering (HAC) offers best-quality results, but at the price of a high complexity which reduces the size of datasets ...
Mirco Nanni
CIBCB
2009
IEEE
13 years 11 months ago
An application of the metric access methods to the mass spectrometry data
Mass spectrometry is a very popular method for protein and peptide identification nowadays. Abundance of data generated in this way grows exponentially every year and although ther...
Jiri Novák, David Hoksza
CVPR
2000
IEEE
14 years 1 months ago
Adaptive Metric nearest Neighbor Classification
Nearest neighbor classification assumes locally constant class conditional probabilities. This assumption becomes invalid in high dimensions with finite samples due to the curse o...
Carlotta Domeniconi, Dimitrios Gunopulos, Jing Pen...
ICIP
2003
IEEE
14 years 11 months ago
Indexing and segmenting colour images using neighbourhood sequences
In this paper we present some methods for indexing and segmenting colour images. The proposed procedures are based on well-known algorithms, but now we use digital distance functi...
András Hajdu, Benedek Nagy, Zoltán Z...
JAPLL
2008
121views more  JAPLL 2008»
13 years 9 months ago
Reasoning with prioritized information by iterative aggregation of distance functions
We introduce a general framework for reasoning with prioritized propositional data by aggregation of distance functions. Our formalism is based on a possible world semantics, wher...
Ofer Arieli