dbscan.opt: DBscan Parameter Scanning
In JulianSpagnuolo/FACkit: FACS Analysis Tool Kit
Description
Usage
Arguments
Value
Author(s)
Description
DBscan Parameter Scanning
Usage
1
2
dbscan.opt(data, eps.start, eps.end, step.size, minPts.start = NULL,
minPts.end = NULL)
Arguments
data
continuous numeric data to pass to dbscan
eps.start
numeric, epsilon to begin scan from
eps.end
numeric, epsilon to scan to
step.size
numeric, rate at which to increase the epsilon parameter
minPts.start
integer, minimum k nearest neighbours for a cluster, if NULL defaults to ncol(data)+1.
minPts.end
integer, minimum k nearest neighbours to scan to. If defined, function will scan all epsilons between eps.start and eps.end for all minPts between minPts.start and minPts.end. Default is NULL.
Value
data.frame. eps = vector of epsilons scanned through; minPts = vector of minPts scanned through; n.clust = number of clusters found in each epsilon step for minPts; noise.pts = number of points considered to be noise at each step; log.noise.pts = log10 of the number of noise points (included for plotting).
Author(s)
Julian Spagnuolo
JulianSpagnuolo/FACkit documentation built on June 24, 2019, 12:18 p.m.
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Description Usage Arguments Value Author(s)
Description
DBscan Parameter Scanning
Usage
1 2 | dbscan.opt(data, eps.start, eps.end, step.size, minPts.start = NULL,
minPts.end = NULL)
|
Arguments
data |
continuous numeric data to pass to dbscan |
eps.start |
numeric, epsilon to begin scan from |
eps.end |
numeric, epsilon to scan to |
step.size |
numeric, rate at which to increase the epsilon parameter |
minPts.start |
integer, minimum k nearest neighbours for a cluster, if NULL defaults to ncol(data)+1. |
minPts.end |
integer, minimum k nearest neighbours to scan to. If defined, function will scan all epsilons between eps.start and eps.end for all minPts between minPts.start and minPts.end. Default is NULL. |
Value
data.frame. eps = vector of epsilons scanned through; minPts = vector of minPts scanned through; n.clust = number of clusters found in each epsilon step for minPts; noise.pts = number of points considered to be noise at each step; log.noise.pts = log10 of the number of noise points (included for plotting).
Author(s)
Julian Spagnuolo
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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