predict.kmeans: predict.kmeans
In CONFESS: Cell OrderiNg by FluorEScence Signal
Description
Usage
Arguments
Value
Description
Takes a training sample and predicts the k-mean clusters of a new dataset (minimizing the Eucledian distance).
Usage
1
2
Arguments
data
Data matrix. A 2-dimensional matrix of corrected fluorescence signals that are clustered by k-means.
centroid
Data matrix. A 2-dimensional matrix of the k-means centroids.
Value
The predicted k-mean clusters.
CONFESS documentation built on Nov. 8, 2020, 6:05 p.m.
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Description Usage Arguments Value
Description
Takes a training sample and predicts the k-mean clusters of a new dataset (minimizing the Eucledian distance).
Usage
1 2 |
Arguments
data |
Data matrix. A 2-dimensional matrix of corrected fluorescence signals that are clustered by k-means. |
centroid |
Data matrix. A 2-dimensional matrix of the k-means centroids. |
Value
The predicted k-mean clusters.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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