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Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
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Multiple temporal cluster detection

N Molinari1, C Bonaldi, J P Daurès

  • 1Laboratoire de Biostatistique, Institut Universitaire de Recherche Clinique, Montpellier, France. molinari@helios.ensam.inra.fr

Biometrics
|June 21, 2001
PubMed

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Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...