SCalgo {SCEM} | R Documentation |
Splitting-Coalescence (SC) algorithm.
Description
This function performs the iterative clustering algorithm on the archaeological time series data. Detailed description can be found in Chazin et al. 2019, Supplemental Materials 1.
Usage
SCalgo(paths, bandwidth)
Arguments
paths |
A list of data frames, where each frame contains the data for one individual. There should be two columns with names 'distance' and 'oxygen'. |
bandwidth |
Denotes the order of the bandwidth that should be used in the splitting-coalescence (SC) clustering algorithm. A value k will mean that the bandwidth used in the algorithm is n^k. |
Value
A list of vectors where each vector gives the indexes of the individuals to be assigned in the same cluster.
Examples
## Not run:
armenia_split = split(armenia,f = armenia$ID)
band = -0.33
results = SCalgo(armenia_split,bandwidth = band)
## End(Not run)
[Package SCEM version 1.1.0 Index]