Search results for " K-means"
showing 4 items of 14 documents
Beyond Tandem Analysis: Joint Dimension Reduction and Clustering in R
2019
We present the R package clustrd which implements a class of methods that combine dimension reduction and clustering of continuous or categorical data. In particular, for continuous data, the package contains implementations of factorial K-means and reduced K-means; both methods combine principal component analysis with K-means clustering. For categorical data, the package provides MCA K-means, i-FCB and cluster correspondence analysis, which combine multiple correspondence analysis with K-means. Two examples on real data sets are provided to illustrate the usage of the main functions.
Simulated skiing as a measurement tool for performance in cross-country sit-skiing
2019
The International Paralympic Committee mandates the development of an evidence-based classification system, which requires a measure of performance. Performance in cross-country sit-skiing is mainly dependent on force generated during the poling phase and is enhanced by trunk flexion–extension movements. Since all sit-skiers have neuromuscular impairment, but different ability to control the trunk, this study aimed to verify if simulated action of poling on an adapted ergometer, together with a cluster analysis, could be used for grouping participants with different impairments according to their performance. On the ergometer, eight male and five female participants performed seven poling c…
Paysage et risque sanitaire - Le cas de l'echinococcose alvéolaire. Approche multiscalaire
2005
Echinococcus multilocularis is a parasite of public health importance causing the fatal zoonotic disease alveolar echinococcosis. The parasite's eggs are dispersed in the environment through the fox faeces. Epidemiological issues associated with the disease led to the monitoring of the endemic status in foxes in France and in Europe. Fox faeces collected in the field were tested for the presence of the parasite and assembled in a georeferenced database. GIS-assisted analysis investigated relationships between landscape characteristics and potential risk. Three scale levels were successively explored. In the french Doubs département located in a high endemicity area, binary logistic regressi…
An Examination of Tourist Arrivals Dynamics Using Short-Term Time Series Data: A Space—Time Cluster Approach
2013
The purpose of this study is to examine the development of Italian tourist areas ( circoscrizioni turistiche) through a cluster analysis of short time series. The technique is an adaptation of the functional data analysis approach developed by Abraham et al (2003), which combines spline interpolation with k-means clustering. The findings indicate the presence of two patterns (increasing and stable) averagely characterizing groups of territories. Moreover, tests of spatial contiguity suggest the presence of ‘space–time clusters’; that is, areas in the same ‘time cluster’ are also spatially contiguous. These findings appear to be more robust in particular for those series characterized by an…