101 citations · 165 across the 6 of their papers we have counts for
7 papers
Investigating the time dynamics of wind speed in complex terrains by using the Fisher-Shannon method
Fabian Guignard, Michele Lovallo, Mohamed Laib +4
In this paper, the time dynamics of the daily means of wind speed measured in complex mountainous regions are investigated. For 293 measuring stations distributed over all Switzerl…
Multifractal analysis of the time series of daily means of wind speed in complex regions
Mohamed Laib, Jean Golay, Luciano Telesca +1
In this paper, we applied the multifractal detrended fluctuation analysis to the daily means of wind speed measured by 119 weather stations distributed over the territory of Switze…
Unsupervised Feature Selection Based on the Morisita Estimator of Intrinsic Dimension
Jean Golay, Mikhail Kanevski
This paper deals with a new filter algorithm for selecting the smallest subset of features carrying all the information content of a data set (i.e. for removing redundant features)…
Feature Selection for Regression Problems Based on the Morisita Estimator of Intrinsic Dimension
Jean Golay, Michael Leuenberger, Mikhail Kanevski
Data acquisition, storage and management have been improved, while the key factors of many phenomena are not well known. Consequently, irrelevant and redundant features artificiall…
A New Estimator of Intrinsic Dimension Based on the Multipoint Morisita Index
Jean Golay, Mikhail Kanevski
The size of datasets has been increasing rapidly both in terms of number of variables and number of events. As a result, the empty space phenomenon and the curse of dimensionality…
Multifractal portrayal of the Swiss population
Carmen D. Vega Orozco, Jean Golay, Mikhail Kanevski
Fractal geometry is a fundamental approach for describing the complex irregularities of the spatial structure of point patterns. The present research characterizes the spatial stru…
The Multipoint Morisita Index for the Analysis of Spatial Patterns
J. Golay, M. Kanevski, C. Vega Orozco +1
In many fields, the spatial clustering of sampled data points has many consequences. Therefore, several indices have been proposed to assess the level of clustering affecting datas…