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CLASSIFICATION
2008
73views more  CLASSIFICATION 2008»
13 years 7 months ago
Solving Non-Uniqueness in Agglomerative Hierarchical Clustering Using Multidendrograms
: In agglomerative hierarchical clustering, pair-group methods suffer from a problem of non-uniqueness when two or more distances between different clusters coincide during the ama...
Alberto Fernández, Sergio Gómez
COMSIS
2006
156views more  COMSIS 2006»
13 years 7 months ago
A Comparison of the Bagging and the Boosting Methods Using the Decision Trees Classifiers
In this paper we present an improvement of the precision of classification algorithm results. Two various approaches are known: bagging and boosting. This paper describes a set of ...
Kristína Machova, Miroslav Puszta, Frantise...
VLDB
1995
ACM
181views Database» more  VLDB 1995»
13 years 11 months ago
NeuroRule: A Connectionist Approach to Data Mining
Classification, which involves finding rules that partition a given da.ta set into disjoint groups, is one class of data mining problems. Approaches proposed so far for mining cla...
Hongjun Lu, Rudy Setiono, Huan Liu
EVOW
2007
Springer
13 years 11 months ago
Classification of Cell Fates with Support Vector Machine Learning
In human mesenchymal stem cells the envelope surrounding the nucleus, as visualized by the nuclear lamina, has a round and flat shape. The lamina structure is considerably deformed...
Ofer M. Shir, Vered Raz, Roeland W. Dirks, Thomas ...
MICCAI
2006
Springer
14 years 8 months ago
Atlas Guided Identification of Brain Structures by Combining 3D Segmentation and SVM Classification
Abstract. This study presents a novel automatic approach for the identification of anatomical brain structures in magnetic resonance images (MRI). The method combines a fast multis...
Ayelet Akselrod-Ballin, Meirav Galun, Moshe John G...