minDistToHigher: Calculate distance to nearest observation of higher density
In JinmiaoChenLab/ClusterX: Fast clustering by automaticly search and find of density peaks
Description
Usage
Arguments
Value
Description
This function finds, for each observation, the minimum distance to an
observation of higher local density. With a rowise implementation of
the pairwise distance calculation, makes the local density estimation
fast and memory efficient. A big benifit is the aviliability for big
data. Parallel computing is supported for fast calculation.
Usage
1
minDistToHigher(data, rho, ifParallel = FALSE)
Arguments
data
Numeric matrix of data or data frame.
rho
A vector of local density values as outputted by localDensity.
ifParallel
A boolean decides if run parallelly.
Value
A list of distances to closest observation of higher density and the ID
JinmiaoChenLab/ClusterX documentation built on May 7, 2019, 10:52 a.m.
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Description Usage Arguments Value
Description
This function finds, for each observation, the minimum distance to an observation of higher local density. With a rowise implementation of the pairwise distance calculation, makes the local density estimation fast and memory efficient. A big benifit is the aviliability for big data. Parallel computing is supported for fast calculation.
Usage
1 | minDistToHigher(data, rho, ifParallel = FALSE)
|
Arguments
data |
Numeric matrix of data or data frame. |
rho |
A vector of local density values as outputted by |
ifParallel |
A boolean decides if run parallelly. |
Value
A list of distances to closest observation of higher density and the ID
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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