![]() dimensions = 1 : for i in range ( 0, self. legend ( loc = 'upper right' ) # iteration_count += 1 # () # Plot the clustering results upon convergence # if ( abs ( self. new_means, marker = 'o', c = 'g', label = 'new Means' if i = 0 and iteration_count = 1 else "" ) self. ![]() new_means ], label = 'mean movement' if iteration_count = 1 else "", c = self. dimensions = 3 : for i in range ( 0, self. new_means, marker = 'o', c = 'g', label = 'new Means' if i = 0 and iteration_count = 1 else "" ) elif self. dimensions = 2 : for i in range ( 0, self. new_means, 0, marker = 'o', c = 'g', label = 'new Means' if i = 0 and iteration_count = 1 else "" ) elif self. new_means ],, label = 'mean movement' if iteration_count = 1 else "", c = self.
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