:n_init
はアルゴリズムが実行される回数は、これらの独立した実行から選ば最高出力と、あるとき
Parameters
-----------
n_clusters : int, optional, default: 8
The number of clusters to form as well as the number of
centroids to generate.
max_iter : int, default: 300
Maximum number of iterations of the k-modes algorithm for a
single run.
cat_dissim : func, default: matching_dissim
Dissimilarity function used by the algorithm for categorical variables.
Defaults to the matching dissimilarity function.
init : {'Huang', 'Cao', 'random' or an ndarray}, default: 'Cao'
Method for initialization:
'Huang': Method in Huang [1997, 1998]
'Cao': Method in Cao et al. [2009]
'random': choose 'n_clusters' observations (rows) at random from
data for the initial centroids.
If an ndarray is passed, it should be of shape (n_clusters, n_features)
and gives the initial centroids.
n_init : int, default: 10
Number of time the k-modes algorithm will be run with different
centroid seeds. The final results will be the best output of
n_init consecutive runs in terms of cost.
verbose : int, optional
Verbosity mode.
だからinit
は、単に初期化のために使用される方法です。
verbose
は、出力がstdoutにどのくらい渡されるかを指定します(つまり、アルゴリズムがどの段階にあるかなど)。