— Since we can accumulate a huge amount of data including useless information in these years, it is important to investigate various extraction method of clusters from data inclu...
Inference of latent variables from complicated data is one important problem in data mining. The high dimensionality and high complexity of real world data often make accurate infe...
The Self-Organizing map (SOM), a powerful method for data mining and cluster extraction, is very useful for processing data of high dimensionality and complexity. Visualization met...
The suitability of the well known kernels for trees, and the lesser known SelfOrganizing Map for Structures for categorization tasks on structured data is investigated in this pap...
Fabio Aiolli, Giovanni Da San Martino, Alessandro ...
We propose a way of creating product maps with self-organizing maps (SOMs) for purchase decision making. We previously proposed a way of purchase decision support using SOMs and th...