"A two-phase clustering method for the detection of geostatistical functional. outliers is proposed. It first, clusters data by a modified version of a Dynamic. Clustering algorithm for geostatical functional data and then detects groups of outliers. according to a cut-off value defined by a measure of spatial deviation in a. minimum spanning tree. The performance of the proposed procedure is analyzed by. several simulation studies."
A Two-Phase Clustering Based Strategy for Outliers Detection in Georeferenced Curves
ROMANO, Elvira;BALZANELLA, Antonio
2013
Abstract
"A two-phase clustering method for the detection of geostatistical functional. outliers is proposed. It first, clusters data by a modified version of a Dynamic. Clustering algorithm for geostatical functional data and then detects groups of outliers. according to a cut-off value defined by a measure of spatial deviation in a. minimum spanning tree. The performance of the proposed procedure is analyzed by. several simulation studies."File in questo prodotto:
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