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» Clustering of Self-Organizing Map
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IJCNN
2007
IEEE
14 years 2 months ago
The Metro Visualisation of Component Planes for Self-Organising Maps
— The Self-Organising Map is a popular unsupervised neural network model which has successfully been used for clustering various kinds of data. To help in understanding the infl...
Robert Neumayer, Rudolf Mayer, Georg Pölzlbau...
NN
2002
Springer
226views Neural Networks» more  NN 2002»
13 years 7 months ago
Data visualisation and manifold mapping using the ViSOM
The self-organising map (SOM) has been successfully employed as a nonparametric method for dimensionality reduction and data visualisation. However, for visualisation the SOM requ...
Hujun Yin
TSP
2011
152views more  TSP 2011»
13 years 3 months ago
Road Intensity Based Mapping Using Radar Measurements With a Probability Hypothesis Density Filter
Abstract—Mapping stationary objects is essential for autonomous vehicles and many autonomous functions in vehicles. In this contribution the probability hypothesis density (PHD) ...
Christian Lundquist, Lars Hammarstrand, Fredrik Gu...
IJPRAI
2008
144views more  IJPRAI 2008»
13 years 8 months ago
Unsupervised Learning of a Hierarchy of Topological Maps Using Omnidirectional Images
unsupervised construction of topological maps, which provide an abstraction of the environment in terms of visual aspects. An unsupervised clustering algorithm is used to represent...
Ales Stimec, Matjaz Jogan, Ales Leonardis
NAR
2000
111views more  NAR 2000»
13 years 8 months ago
ProtoMap: automatic classification of protein sequences and hierarchy of protein families
The ProtoMap site offers an exhaustive classification of all proteins in the SWISS-PROT database, into groups of related proteins. The classification is based on analysis of all p...
Golan Yona, Nathan Linial, Michal Linial