Large scale analysis of protein‐binding cavities using self‐organizing maps and wavelet‐based surface patches to describe functional properties, selectivity …

K Kupas, A Ultsch, G Klebe - Proteins: Structure, Function, and …, 2008 - Wiley Online Library
A new method to discover similar substructures in protein binding pockets, independently of
sequence and folding patterns or secondary structure elements, is introduced. The solvent …

Climate analysis, modelling, and regional downscaling using self-organizing maps

BC Hewitson - Self-Organising Maps: applications in geographic …, 2008 - books.google.com
The climate system, a complex interaction of the atmosphere with the terrestrial and ocean
sub-systems, operates on a multitude of timescales from seconds to millennia, and spatially …

Memory association machine: an account of the realization and interpretation of an autonomous responsive site-specific artwork.

BDR Bogart - 2008 - summit.sfu.ca
This thesis is an account of the realization and interpretation of the autonomous responsive
electronic media artwork" Memory Association Machine"(MAM). Realization and …

Spherical and torus SOM approaches to metabolic syndrome evaluation

PK Kihato, H Tokutaka, M Ohkita, K Fujimura… - … 2007, Kitakyushu, Japan …, 2008 - Springer
One of the threatening trends of health to the youth in recent years has been the metabolic
syndrome. Many associate this syndrome to how big the fatty tissue around the belly is. Self …

[PDF][PDF] Visualizing self-organizing maps with GIS

T Fincke, V Lobo, F Bação - GI days, 2008 - academia.edu
Self-organizing maps (SOM) are a powerful tool for detecting patterns in large, multi-
dimensional data sets. Additional visualization techniques have been developed to support …

A hybrid self-organizing model for sequence analysis

C Ferles, A Stafylopatis - 2008 20th IEEE International …, 2008 - ieeexplore.ieee.org
The self-organizing hidden Markov model map (SOHMMM) constitutes a cross-section
between the theoretic foundations and algorithmic realizations of the self-organizing map …

Cluster analysis in remote sensing spectral imagery through graph representation and advanced SOM visualization

K Taşdemir, E Merényi - International Conference on Discovery Science, 2008 - Springer
Abstract The Self-Organizing Map (SOM), a powerful method for clustering and knowledge
discovery, has been used effectively for remote sensing spectral images which often have …

Cooperative diversity based on Alamouti space-time code

J Li, J Ge, Y Tang, X Xiong - 2008 International Conference on …, 2008 - ieeexplore.ieee.org
Cooperative diversity enables single-antenna terminals in a multi-user environment to share
their antennas so as to form a virtual antenna array and achieve spatial diversity in a …

[PDF][PDF] Advanced data exploration methods based on Self-Organizing Maps

G Pölzlbauer - 2008 - Citeseer
Abstract Self-Organizing Maps are an important data mining method for extracting
information from a data set. In this thesis, three techniques that are based on SOMs are …

A constrained neural learning rule for eliminating the border effect in online self-organising maps

C Hung - Connection Science, 2008 - Taylor & Francis
The self-organising map (SOM) is a concise and powerful algorithm for clustering and
visualisation of high-dimensional data. However, this robust algorithm still suffers from the …