lib/rumale/clustering/k_medoids.rb in rumale-clustering-0.28.0 vs lib/rumale/clustering/k_medoids.rb in rumale-clustering-0.28.1

@@ -43,10 +43,10 @@
           n_clusters: n_clusters,
           metric: (metric == 'precomputed' ? 'precomputed' : 'euclidean'),
           init: (init == 'random' ? 'random' : 'k-means++'),
           max_iter: max_iter,
           tol: tol,
-          random_seed: (random_seed || srand)
+          random_seed: random_seed || srand
         }
         @rng = Random.new(@params[:random_seed])
       end
 
       # Analysis clusters with given training data.