MPgetRepresentatives: Identify representative points from a distance object
In tkonopka/MultiPattern: Multi-Pattern Discovery Framework
Description
Identify representative points from a distance object
Usage
1
2
MPgetRepresentatives(d, subsets = NULL, method = c("complete",
"single", "average", "pam", "extreme"), k = 0.05)
Arguments
d
dist object or dist-like matrix
subsets
if NULL, function considers all rows
if vector of characters, interpreted as regex for subsetting rows
method
character, determines what clustering approach
is used to determine representative items within a clustering
k
numeric or integer. If more than 1, number of points to select
If less than 1, proportion of points to select
tkonopka/MultiPattern documentation built on May 31, 2019, 3:45 p.m.
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Description
Identify representative points from a distance object
Usage
1 2 | MPgetRepresentatives(d, subsets = NULL, method = c("complete",
"single", "average", "pam", "extreme"), k = 0.05)
|
Arguments
d |
dist object or dist-like matrix |
subsets |
if NULL, function considers all rows if vector of characters, interpreted as regex for subsetting rows |
method |
character, determines what clustering approach is used to determine representative items within a clustering |
k |
numeric or integer. If more than 1, number of points to select If less than 1, proportion of points to select |
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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