The distribution of the wood pellet plants in Europe was analysed using a geo-statistical kernel based approach, in order to identify and define cluster-regions with high concentration of pellet production capacity. For that, a database with the location of pellet plants, as well as its...

In this paper, we study and put under a common framework a number of non-linear dimensionality reduction methods, such as Locally Linear Embedding, Isomap, Laplacian Eigenmaps and kernel PCA, which are based on performing an eigen-decomposition (hence the name 'spectral'). That framework also...