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» Forecasting high-dimensional data
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EPIA
2005
Springer
15 years 3 months ago
An Extension of Self-organizing Maps to Categorical Data
Self-organizing maps (SOM) have been recognized as a powerful tool in data exploratoration, especially for the tasks of clustering on high dimensional data. However, clustering on ...
Ning Chen, Nuno C. Marques
ESANN
2004
14 years 11 months ago
Clustering functional data with the SOM algorithm
Abstract. In many situations, high dimensional data can be considered as sampled functions. We show in this paper how to implement a Self-Organizing Map (SOM) on such data by appro...
Fabrice Rossi, Brieuc Conan-Guez, Aïcha El Go...
ESANN
2006
14 years 11 months ago
Visual Data Mining and Machine Learning
Information visualization and visual data mining leverage the human visual system to provide insight and understanding of unorganized data. In order to scale to massive sets of hig...
Fabrice Rossi
ICCS
2007
Springer
15 years 3 months ago
Building a Dynamic Data Driven Application System for Hurricane Forecasting
The Louisiana Coastal Area presents an array of rich and urgent scientific problems that require new computational approaches. These problems are interconnected with common compon...
Gabrielle Allen
KDD
2008
ACM
159views Data Mining» more  KDD 2008»
15 years 10 months ago
Semi-supervised learning with data calibration for long-term time series forecasting
Many time series prediction methods have focused on single step or short term prediction problems due to the inherent difficulty in controlling the propagation of errors from one ...
Haibin Cheng, Pang-Ning Tan