GTM: the generative topographic mapping
Neural Computation
Self-Organizing Maps
Automatically Analyzing and Organizing Music Archives
ECDL '01 Proceedings of the 5th European Conference on Research and Advanced Technology for Digital Libraries
Clustering of the self-organizing map
IEEE Transactions on Neural Networks
Content-based music indexing and organization
SIGIR '02 Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval
Content-based organization and visualization of music archives
Proceedings of the tenth ACM international conference on Multimedia
In Search of the Horowitz Factor: Interim Report on a Musical Discovery Project
DS '02 Proceedings of the 5th International Conference on Discovery Science
Visualizing changes in the structure of data for exploratory feature selection
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
In search of the Horowitz factor
AI Magazine
2D Maps for Visual Analysis and Retrieval in Large Multi-Feature 3D Model Databases
VIS '04 Proceedings of the conference on Visualization '04
Class distribution on SOM surfaces for feature extraction and object retrieval
Neural Networks - 2004 Special issue: New developments in self-organizing systems
Exploring Music Collections by Browsing Different Views
Computer Music Journal
Advanced visualization of self-organizing maps with vector fields
Neural Networks - 2006 Special issue: Advances in self-organizing maps--WSOM'05
Visualization in Audio-Based Music Information Retrieval
Computer Music Journal
MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
An innovative three-dimensional user interface for exploring music collections enriched
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
A new approach to hierarchical clustering and structuring of data with Self-Organizing Maps
Intelligent Data Analysis
Trajectory-based visual analysis of large financial time series data
ACM SIGKDD Explorations Newsletter - Special issue on visual analytics
Exploratory multilevel hot spot analysis: Australian taxation office case study
AusDM '07 Proceedings of the sixth Australasian conference on Data mining and analytics - Volume 70
Optimal Combination of SOM Search in Best-Matching Units and Map Neighborhood
WSOM '09 Proceedings of the 7th International Workshop on Advances in Self-Organizing Maps
Exploiting data topology in visualization and clustering of self-organizing maps
IEEE Transactions on Neural Networks
Learning Higher-Order Markov Models for Object Tracking in Image Sequences
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part II
Visualising class distribution on self-organising maps
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
A comparison of data preparation approaches for e-mail categorisation
International Journal of Intelligent Information and Database Systems
Graph based representations of density distribution and distances for self-organizing maps
IEEE Transactions on Neural Networks
KSEM'10 Proceedings of the 4th international conference on Knowledge science, engineering and management
Visualising clusters in self-organising maps with minimum spanning trees
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part II
Large Scale Semantic Access to Content (Text, Image, Video, and Sound)
Advanced visualization techniques for self-organizing maps with graph-based methods
ISNN'05 Proceedings of the Second international conference on Advances in neural networks - Volume Part II
Proceedings of the 1st ACM International Conference on Multimedia Retrieval
A discussion on visual interactive data exploration using self-organizing maps
WSOM'11 Proceedings of the 8th international conference on Advances in self-organizing maps
On wires and cables: content analysis of wikileaks using self-organising maps
WSOM'11 Proceedings of the 8th international conference on Advances in self-organizing maps
Analysing the similarity of album art with self-organising maps
WSOM'11 Proceedings of the 8th international conference on Advances in self-organizing maps
Indexing and mining audiovisual data
AM'03 Proceedings of the Second international conference on Active Mining
A vector field visualization technique for self-organizing maps
PAKDD'05 Proceedings of the 9th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
Visual query processing for efficient image retrieval using a SOM-based filter-refinement scheme
Information Sciences: an International Journal
A new approach for data clustering and visualization using self-organizing maps
Expert Systems with Applications: An International Journal
The CoMIRVA toolkit for visualizing music-related data
EUROVIS'07 Proceedings of the 9th Joint Eurographics / IEEE VGTC conference on Visualization
Capturing the workflows of music information retrieval for repeatability and reuse
Journal of Intelligent Information Systems
| Hi-index | 0.00 |
Several methods to visualize clusters in high-dimensional data sets using the Self-Organizing Map (SOM) have been proposed. However, most of these methods only focus on the information extracted from the model vectors of the SOM. This paper introduces a novel method to visualize the clusters of a SOM based on smoothed data histograms. The method is illustrated using a simple 2-dimensional data set and similarities to other SOM based visualizations and to the posterior probability distribution of the Generative Topographic Mapping are discussed. Furthermore, the method is evaluated on a real world data set consisting of pieces of music.