Multiple kernel self-organizing maps

• Published in: Proceedings of ESANN 2013. 2013; 21. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2013), Bruges, BEL, 2013-04-24-2013-04-26, 83-88
• Main Authors: Olteanu, Madalina, Villa-Vialaneix, Nathalie, Cierco-Ayrolles, Christine
• Format: Conference Proceeding
• Language: English
• Published: 2013
• Subjects: analyse de données; autoorganisation; carte; graph; kernel; Machine Learning; self-organizing map

In a number of real-life applications, the user is interested in analyzing several sources of information together: a graph combined with the additional information known on its nodes, numerical variables measured on individuals and factors describing these individuals... The combination of all sources of information can help him to understand the dataset in its whole better. The present article focuses on such an issue, by using self-organizing maps. The use a kernel version of the algorithm allows us to combine various types of information and automatically tune the data combination. This approach is illustrated on a simulated example.