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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def fit(self, X, y=None, **kwargs):
 """Compute k-modes clustering. Parameters X : array-like, shape=[n_samples, n_features] """

        X = pandas_to_numpy(X)

        random_state = check_random_state(self.random_state)
        self._enc_cluster_centroids, self._enc_map, self.labels_,\
            self.cost_, self.n_iter_ = k_modes(X,
                                               self.n_clusters,
                                               self.max_iter,
                                               self.cat_dissim,
                                               self.init,
                                               self.n_init,
                                               self.verbose,
                                               random_state,
                                               self.n_jobs)
        return self