FindCentersAutoV: Automatically find centers with vertical threshold

Description Usage Arguments Details Value Author(s)

View source: R/FindCentersAutoV.R

Description

Automatically find centers with vertical threshold vertical f(x) thresholds.

Usage

1
FindCentersAutoV(f, delta, f.cut = c(0.1, 0.2, 0.3), nclust, rm.dup = TRUE)

Arguments

f

vector of local distance f(x). See the detail section of the help(adpclust).

delta

vector of minimal distances to higher ground delta(x). See the detail section of the help(adpclust).

f.cut

number between (0, 1) or numeric vector of numbers between (0, 1). Data points whose f values are larger than f.cut with large delta values are selected as centers. The default is c(0.1, 0.2, 0.3).

nclust

number of clusters. It can be either a single integer or a vector of integers.

rm.dup

boolean. If TRUE (default) duplicated centers vectors are removed from returned list.

Details

Given f's and delta's, cluster centers are chosen to be the data points whose delta values are high and f values are larger than a fixed threshold. To be more specific, let F denote the set of all f(x). centers are selected as points with the largest m delta values in the set x | f(x) > a'th percentile of F. The number of centers m is given by the parameter nclust. The cutting percentile a is given by the parameter f.cut. When at least one of these two parameters are vectors, centers are selected based all combinations of them, and returned in a list.

Value

a list of vectors. Each vector contains the indices of selected centers.

Author(s)

Ethan Xu


ADPclust documentation built on May 30, 2017, 12:04 a.m.