clustInd_spc  R Documentation 
Perform spectral clustering for a different combinations of indices and kernels
clustInd_spc(
ind_data,
vars_combinations,
kernel_list = c("rbfdot", "polydot"),
n_cluster = 2,
true_labels = NULL,
n_cores = 1
)
ind_data 
Dataframe containing indices applied to the original data and its first and second derivatives. See generate_indices. 
vars_combinations 

kernel_list 
List of kernels 
n_cluster 
Number of clusters to create 
true_labels 
Vector of true labels for validation (if it is not known true_labels is set to NULL) 
n_cores 
Number of cores to do parallel computation. 1 by default, which mean no parallel execution. 
A list containing kkmeans clustering results for each configuration
vars1 < c("dtaEI", "dtaMEI")
vars2 < c("dtaHI", "dtaMHI")
data < ehymet::sim_model_ex1()
data_ind < generate_indices(data)
clustInd_spc(data_ind, list(vars1, vars2))
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