Clustering large applications
Clara_Medoids(
data,
clusters,
samples,
sample_size,
distance_metric = "euclidean",
minkowski_p = 1,
threads = 1,
swap_phase = TRUE,
fuzzy = FALSE,
verbose = FALSE,
seed = 1
)matrix or data frame
the number of clusters
number of samples to draw from the data set
fraction of data to draw in each sample iteration. It should be a float number greater than 0.0 and less or equal to 1.0
a string specifying the distance method. One of, euclidean, manhattan, chebyshev, canberra, braycurtis, pearson_correlation, simple_matching_coefficient, minkowski, hamming, jaccard_coefficient, Rao_coefficient, mahalanobis, cosine
a numeric value specifying the minkowski parameter in case that distance_metric = "minkowski"
an integer specifying the number of cores to run in parallel. Openmp will be utilized to parallelize the number of the different sample draws
either TRUE or FALSE. If TRUE then both phases ('build' and 'swap') will take place. The 'swap_phase' is considered more computationally intensive.
either TRUE or FALSE. If TRUE, then probabilities for each cluster will be returned based on the distance between observations and medoids
either TRUE or FALSE, indicating whether progress is printed during clustering
integer value for random number generator (RNG)
a list with the following attributes : medoids, medoid_indices, sample_indices, best_dissimilarity, clusters, fuzzy_probs (if fuzzy = TRUE), clustering_stats, dissimilarity_matrix, silhouette_matrix
The Clara_Medoids function is implemented in the same way as the 'clara' (clustering large applications) algorithm (Kaufman and Rousseeuw(1990)). In the 'Clara_Medoids' the 'Cluster_Medoids' function will be applied to each sample draw.
Anja Struyf, Mia Hubert, Peter J. Rousseeuw, (Feb. 1997), Clustering in an Object-Oriented Environment, Journal of Statistical Software, Vol 1, Issue 4
data(dietary_survey_IBS)
dat = dietary_survey_IBS[, -ncol(dietary_survey_IBS)]
dat = center_scale(dat)
clm = Clara_Medoids(dat, clusters = 3, samples = 5, sample_size = 0.2, swap_phase = TRUE)