This paper presents a highly parallel implementation of a\ud new type of Self-Organising Map (SOM) using graphics hardware. The\ud Parameter-Less SOM smoothly adapts to new data while preserving the\ud mapping formed by previous data. It is therefore in principle highly\ud suited for interactive use, however for large data sets the computational\ud requirements are prohibitive. This paper will present an implementation\ud on commodity graphics hardware which uses two forms of parallelism\ud to signi¯cantly reduce this barrier. The performance is analysed experi-\ud mentally and algorithmically. An advantage to using graphics hardware\ud is that visualisation is essentially free", thus increasing its suitability\ud for interactive exploratio...
somoclu is a massively parallel tool for training self-organizing maps on large data sets written in...
The Self-Organizing Maps (SOM) is a very popular algorithm, introduced by Teuvo Kohonen in the early...
In this paper, we propose an enhanced parallel Self organizing Map (SOM) framework based on heteroge...
This paper presents a highly parallel implementation of a new type of Self-Organising Map (SOM) usin...
The capability for understanding data passes through the ability of producing an effective and fast ...
Porrmann M, Ruping S, Rückert U. SOM hardware with acceleration module for graphical representation ...
AbstractThe self-organizing map (SOM) methodology does vector quantization and clustering on the dat...
Porrmann M, Witkowski U, Rückert U. A Massively Parallel Architecture for Self-Organizing Feature Ma...
This dissertation presents the culmination of research performed over six years into developing a pa...
In this paper we introduce a MapReduce-based implementation of self-organizing maps that performs co...
Abstract. A dynamically reconfigurable hardware accelerator for self-organizing feature maps is pres...
A review of recent development of the self-organising map (SOM) for applications related to data map...
In this paper we present a system which enables easy and fast computation of Kohonen's selforga...
In this paper, we introduce XPySom, a new opensource Python implementation of the well-known Self-Or...
Pohl C, Franzmeier M, Porrmann M, Rückert U. gNBX - reconfigurable hardware acceleration of self-org...
somoclu is a massively parallel tool for training self-organizing maps on large data sets written in...
The Self-Organizing Maps (SOM) is a very popular algorithm, introduced by Teuvo Kohonen in the early...
In this paper, we propose an enhanced parallel Self organizing Map (SOM) framework based on heteroge...
This paper presents a highly parallel implementation of a new type of Self-Organising Map (SOM) usin...
The capability for understanding data passes through the ability of producing an effective and fast ...
Porrmann M, Ruping S, Rückert U. SOM hardware with acceleration module for graphical representation ...
AbstractThe self-organizing map (SOM) methodology does vector quantization and clustering on the dat...
Porrmann M, Witkowski U, Rückert U. A Massively Parallel Architecture for Self-Organizing Feature Ma...
This dissertation presents the culmination of research performed over six years into developing a pa...
In this paper we introduce a MapReduce-based implementation of self-organizing maps that performs co...
Abstract. A dynamically reconfigurable hardware accelerator for self-organizing feature maps is pres...
A review of recent development of the self-organising map (SOM) for applications related to data map...
In this paper we present a system which enables easy and fast computation of Kohonen's selforga...
In this paper, we introduce XPySom, a new opensource Python implementation of the well-known Self-Or...
Pohl C, Franzmeier M, Porrmann M, Rückert U. gNBX - reconfigurable hardware acceleration of self-org...
somoclu is a massively parallel tool for training self-organizing maps on large data sets written in...
The Self-Organizing Maps (SOM) is a very popular algorithm, introduced by Teuvo Kohonen in the early...
In this paper, we propose an enhanced parallel Self organizing Map (SOM) framework based on heteroge...