Description Usage Arguments Author(s)
Clustering by nearest bin
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data |
matrix or data.frame containing the data to be clustered |
markers |
character vector of the columns names of data that should be used for clustering |
nbins |
integer. the number of bins to be created for each dimension in data |
distmet |
character vector. the distance metric to be used for matching the closest bin for each marker |
percentiles |
logical. Whether to use percentiles to create the bins for each marker. If FALSE, bins will be evenly spaced across the range for each dimension. |
Julian Spagnuolo
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