Description Usage Arguments Value See Also
Calculates the distance between every point in a cluster and the mean/centroid of that cluster. Can either output an entire list of all the distances to the centroid or a mean of the distances. Used to measure how dispersed all the points in a cluster are.
1 2 | internal_linkage_distance(matrix_1, distance = "euclidean",
output = "mean")
|
matrix_1 |
Data for cluster 1. Cell by reduced dimension components |
distance |
Point to point distance method to use. e.g. 'euclidean'. |
output |
Can be either "mean" or "raw". mean will return the mean of all the distances from the centroid. Raw will return a vector of all the distances from every point to the centroid. |
Mean or a vector of all the distsances to the centroid.
Other internal_distance: InternalDistance
,
internal_distance
,
internal_mahalanobis_distance
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