Identifying structures in large data sets raises a number of problems. On the one hand, many methods cannot be applied to larger data sets, while, on the other hand, the results are often hard to interpret. We address these problems by a novel three-stage approach. First, we compute a small representation of the input data using a self-organizing map. This reduces the amount of data and allows ...

The VideoSOM sytem is a tool for content-based video navigation based on a growing self-organizing map. Our interface allows the user to browse the video content using simultaneously several perspectives, temporal as well as content-based representations of the video. Combined with the interaction possibilities between them this allows for efficient searching of relevant information in video co...

This paper describes a data organization system and genuine content-addressable memory called the WEBSOM. It is a two-layer self-organizing map (SOM) architecture where documents become mapped as points on the upper map, in a geometric order that describes the similarity of their contents. By standard browsing tools one can select from the map subsets of documents that are most similar mutually...

This paper presents a technique for building complex and adaptive meshes for urban and architecturaldesign. The combination of a self-organizing map and cellular automata algorithms stands as a method forgenerating meshes otherwise static. This intends to be an auxiliary tool for the architect or the urban planner,improving control over large amounts of spatial information. The trad...

An analog VLSI architecture for learning vector quantization (LVQ), with on-chip adaptation and dynamic storage of the analog templates, is presented. The architecture extends to Fuzzy ART and Kohonen self-organizing maps through digital programming. The analog memory and adaptive element of the LVQ cell comprise 6 MOS transistors and one capacitor, and provide for robust selfrefresh of the dyn...

A recurrent oscillatory self-organizing map (ROSOM) introduced. This is an architecture that assumes oscillatory states, assigned to all units, indicating their "readiness-tofire" or "exhaustion", and constitutes an internal timing mechanism. The architecture feeds the vector of all these states back into the input layer, making the units recognize and adapt to not only input but also to the en...

The Growing Self Organizing Map (GSOM) is a dynamic variant of the Self Organizing Map (SOM). It has been mainly used on low dimensional data sets. In this paper the GSOM is applied on high dimensional data sets and its performance is evaluated. Several modifications to the original GSOM algorithm are presented that enable the GSOM to be applied on high dimensional data .The modified version of...

The usual first step in analyzing the large and high-dimensional data sets measured by microarrays is visual exploration. In this work self-organizing maps have been used to visualize similarity relationships of data samples. In all unsupervised data analysis methods the measure of similarity determines the result; we propose to use the learning metrics principle to derive a metric from interre...

Automatic newspaper design requires feature organization. An intermediary between an article database and the graphic designer is implemented that organizes features with regard to their style and content. Topics are determined and style assessed through simple keyword analysis augmented by various content-understanding heuristics. Articles are grouped by two means: comparison against predefine...

introduction:surgeosight is a dedicated intra-operative hand-held gamma camera designed and manufactured by our team to be used for lymphoscintigraphy. although conventional gamma cameras are widely used, they lack the capability of the sentinel lymph node (sln) imaging in the operation room. like conventional gamma cameras it is necessary to calibrate surgeosight for linearity distortion, ener...