Performs model based agglomerative clustering on cell event observations with weights. It is used in the interative cell event clustering approach of immunoClust to obtain an initial cluster membership for the EM(t)-iteration.
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data |
The numeric N x P-dimensional data matrix to cluster. Each row contains a P-dimensional overservation vector. |
weights |
The N-dimensional vector of optional weights to be applied for the overservations. |
This function is used internally in cell.TestSubCluster
procedure
of immunoClust.
A numeric (N-1) x 2-dimensional matrix which gives the minimum index for observations in each of the two clusters merged at the ith step in each row.
Till Sörensen till-antoni.soerensen@charite.de
Sörensen, T., Baumgart, S., Durek, P., Grützkau, A. and Häupl, T. immunoClust - an automated analysis pipeline for the identification of immunophenotypic signatures in high-dimensional cytometric datasets. Cytometry A (accepted).
cell.TestSubCluster
, cell.process
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