- Clustering Geostatistical Functional Data🔍
- Clustering Spatial Functional Data🔍
- Some Recent Developments in Inference for Geostatistical ...🔍
- Geostatistical functional data analysis🔍
- Variograms for kriging and clustering of spatial functional data with ...🔍
- [PDF] Clustering geostatistical data🔍
- Clustering spatial functional data🔍
- Geostatistical Functional Data Analysis🔍
Clustering Geostatistical Functional Data
Clustering Geostatistical Functional Data | SpringerLink
It is based on a Dynamic Clustering Algorithm with on an optimization problem that minimizes the spatial variability among the curves in each cluster. A second ...
(PDF) Clustering geostatistical data - ResearchGate
During reservoir or ore deposit appraisal, clustering is generally used for sample classification from varied types of input data (ore concentration, ...
Clustering Spatial Functional Data - Vandewalle - Wiley Online Library
The first one is the model-based clustering that uses the concept of density for functional random variables. The second one is the hierarchical ...
Some Recent Developments in Inference for Geostatistical ...
regularly spaced functional time series, but not for geostatistical functional data. ... tions at which functions are observed have dense clusters, or if ...
Geostatistical functional data analysis - U.S. Department of Commerce
... Functional Data -- Chapter 7 Clustering Spatial Functional Data -- 7.1 Introduction -- 7.2 Model‐Based Clustering for Spatial Functional Data -- 7.2.1 The ...
Variograms for kriging and clustering of spatial functional data with ...
This enables us to generate separate amplitude and phase clustering methods for spatial functional data, and develop a novel spatial functional interpolant at ...
[PDF] Clustering geostatistical data - Semantic Scholar
Clustering of multivariate geostatistical data · F. Fouedjio. Geology, Computer Science ; Revealing spatial variability structures of geostatistical functional ...
Clustering spatial functional data - Hal-Inria
Geostatistical Functional Data Analysis: Theory and Methods. Editors ... Keywords: Model-based clustering, hierarchical clustering, functional ...
Geostatistical Functional Data Analysis - Oxford Academic
Various methods for clustering spatial functional data are presented in chapters 7 and 9. Non-parametric techniques are considered in ...
Geostatistical Functional Data Analysis - Wiley
Geostatistical Functional Data Analysis presents a unified approach to modelling functional data when spatial and spatio-temporal correlations are present.
Revealing spatial variability structures of geostatistical functional ...
Most of the methods for analyzing such data are extensions of spatial statistical tools which deal with spatially dependent functional data. In ...
Hierarchical clustering of spatially correlated functional data ... - CORE
In univariable and multivariable geostatistics various methods of incorporating spatial information into the clustering analysis have been considered. Here we ...
Clustering geostatistical functional data | Request PDF
Request PDF | On Jan 1, 2012, E. Romano and others published Clustering geostatistical functional data | Find, read and cite all the research you need on ...
Detecting spatial clusters in functional data: New scan statistic ...
The method is based on a distribution-free spatial scan statistic for univariate data. In a simulation study, it always performed better than a nonparametric ...
Revealing spatial variability structures of geostatistical functional ...
(h) minimizes the spatial variability of each cluster. 9. Page 10. Algorithm 1 Dynamic Clustering Algorithm for geostatistical functional data.
Clustering Spatio-Functional Data: A Model Based Approach
25 Citations · Clustering Geostatistical Functional Data · A Regionalization Method for Spatial Functional Data Based on Variogram Models: An Application on ...
Geostatistical analysis in clustering fMRI time series - PubMed
Clustering of functional magnetic resonance imaging (fMRI) time series--either directly or through characteristic features such as the cross ...
Spatial variability clustering for spatially dependent functional data
This paper introduces a method for clustering spatially dependent functional data. The idea is to consider the contribution of each curve to the spatial ...
Advances in spatial functional statistics
Abramowicz et al. (2016) propose a functional non-parametric clustering method which simultaneously clusters and aligns spatially dependent ...
Clustering geostatistical functional data - IRIS
dependent functional data and to obtain a spatio-functional representative model for. each cluster. A second one is a clusterwise regression method, that ...