SOMMER: self-organising maps for education and research.
نویسندگان
چکیده
SOMMER is a publicly available, Java-based toolbox for training and visualizing two- and three-dimensional unsupervised self-organizing maps (SOMs). Various map topologies are implemented for planar rectangular, toroidal, cubic-surface and spherical projections. The software allows for visualization of the training process, which has been shown to be particularly valuable for teaching purposes.
منابع مشابه
On Document Classification with Self-Organising Maps
This research deals with the use of self-organising maps for the classification of text documents. The aim was to classify documents to separate classes according to their topics. We therefore constructed self-organising maps that were effective for this task and tested them with German newspaper documents. We compared the results gained to those of k nearest neighbour searching and k-means clu...
متن کاملAutomatic Classification using Self-Organising Neural Networks in Astrophysical Experiments
Self-Organising Maps (SOMs) are effective tools in classification problems, and in recent years the even more powerful Dynamic Growing Neural Networks, a variant of SOMs, have been developed. Automatic Classification (also called clustering) is an important and difficult problem in many Astrophysical experiments, for instance, Gamma Ray Burst classification, or gamma-hadron separation. After a ...
متن کاملA study of the use of self-organising maps in information retrieval
Purpose We studied the applicability of self-organising maps for searching for information in a document collection. Design / methodology / approach – After conventional preprocessing, like transform into vector space, documents from a German document collection were trained for a neural network of Kohonen selforganising map type. Such an unsupervised network forms a document map from which rel...
متن کاملUnsupervised multimodal processing
We present two separate algorithms for unsupervised multimodal processing. Our first proposal, the singlepass Hebbian linked self-organising map network, significantly reduces the training of Hebbian-linked selforganising maps by computing in a single epoch the weights of the links associating the separate modal maps. Our second proposal, based on the counterpropagation network algorithm, imple...
متن کاملAnalysing Financial Performance with Quarterly Data Using Self- Organising Maps
The purpose is to analyse the quarterly financial performance of telecommunications companies with the help self-organising maps. In this report the three major actors on the telecommunications market is evaluated and benchmarked on the basis of seven key ratios, calculated for seven consecutive quarters between the first quarter of year 2000 to the third quarter of year 2001. To conduct benchm...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- Journal of molecular modeling
دوره 13 1 شماره
صفحات -
تاریخ انتشار 2007