Large-Scale Data Exploration with the Hierarchically Growing Hyperbolic SOM Abstract (2008)
We introduce the Hierarchically Growing Hyperbolic Self-Organizing Map (H 2 SOM) featuring two extensions of the HSOM (hyperbolic SOM): (i) a hierarchically growing variant that allows for...
We introduce a new type of Self-Organizing Map (SOM) to navigate in the Semantic Space of large text collections. We propose a “hyperbolic SOM ” (HSOM) based on a regular tesselation of the...
This thesis describes a novel semantic visualization approach for the exploration of structure in large data sets. The ever increasing amount of online data has led to an information overload which...
Martin, Christian, Diaz, Naryttza N., Ontrup, Jörg, Nattkemper, Tim W.
Motivation: Modern high-throughput sequencing technologies enable the simultaneous analysis of organisms in an environment. The analysis of species diversity and the binning of DNA fragments of...
We introduce a new type of Self-Organizing Map (SOM) to navigate in the Semantic Space of large text collections. We propose a “hyperbolic SOM ” (HSOM) based on a regular tesselation of the...
We introduce a new type of Self-Organizing Map (SOM) to navigate in the Semantic Space of large text collections. We propose a “hyperbolic SOM ” (HSOM) based on a regular tesselation of the...
Genome feature exploration using hyperbolic Self-Organising Maps (2007)
Martin, Christian, Diaz, Naryttza N., Ontrup, Jörg, Nattkemper, Tim W.
The advent of sequencing technologies allows to reassess the relationship between species in the hierarchically organized tree of life. Self-Organizing Maps (SOM) in Euclidean and hyperbolic space...
A computational feature binding model of human texture perception (2004)
Jörg Ontrup, Helge Ritter, Heiko Wersing
We present a computational model for human texture perception which assigns functional principles to the Gestalt laws of similarity and proximity. Motivated by early vision mechanisms, in a first...
Interactive Visualization and Navigation in Large Data Collections Using the Hyperbolic Space (2003)
Jörg Walter, Jörg Ontrup, Daniel Wessling, Helge Ritter
We propose the combination of two recently introduced methods for the interactive visual data mining of large collections of data. Both, Hyperbolic Multi-Dimensional Scaling (HMDS) and Hyperbolic...