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ICANN
2010
Springer
15 years 7 months ago
Visualising Clusters in Self-Organising Maps with Minimum Spanning Trees
Abstract. The Self-Organising Map (SOM) is a well-known neuralnetwork model that has successfully been used as a data analysis tool in many different domains. The SOM provides a to...
Rudolf Mayer, Andreas Rauber
BILDMED
2011
245views Algorithms» more  BILDMED 2011»
14 years 10 months ago
Clustering-Based Detection of Anatomical Features on Organic Shapes
Abstract. Robust and accurate automatic detection of anatomical features on organic shapes is a challenging task. Despite a rough similarity, each shape is unique. To cope with thi...
Konrad Sickel, Vojtech Bubnik
BMCBI
2007
207views more  BMCBI 2007»
15 years 6 months ago
Analyzing in situ gene expression in the mouse brain with image registration, feature extraction and block clustering
Background: Many important high throughput projects use in situ hybridization and may require the analysis of images of spatial cross sections of organisms taken with cellular lev...
Manjunatha Jagalur, Chris Pal, Erik G. Learned-Mil...
IJCNN
2000
IEEE
15 years 11 months ago
A Neural Support Vector Network Architecture with Adaptive Kernels
In the Support Vector Machines (SVM) framework, the positive-definite kernel can be seen as representing a fixed similarity measure between two patterns, and a discriminant func...
Pascal Vincent, Yoshua Bengio
KDD
2003
ACM
180views Data Mining» more  KDD 2003»
16 years 7 months ago
Classifying large data sets using SVMs with hierarchical clusters
Support vector machines (SVMs) have been promising methods for classification and regression analysis because of their solid mathematical foundations which convey several salient ...
Hwanjo Yu, Jiong Yang, Jiawei Han