e4f774a55446bb6f7fab43d999dd6fea24158e26,neurosynth/analysis/cluster.py,Clusterer,cluster,#Clusterer#Any#Any#Any#Any#,161

Before Change

                used; when False (default), the raw data will be used.

        
        if algorithm is not None:
            self._set_clustering_algorithm(algorithm, **kwargs)
        elif not hasattr(self, "clusterer"):
                raise ValueError("You must provide a valid clustering algorithm.")

        if isinstance(n_clusters, int):
            n_clusters = [n_clusters]

        clusterer = self.clusterer

After Change

            if save_images:
                self._create_cluster_images(labels)

            if output_bundle:
                // Generate metadata
                metadata = deepcopy(self.args)
                metadata.update({
                    "n_clusters": k,
                    "precomputed_distances": precomputed_distances,
                    })

                // Copy mask images
                for img in ["global_mask", "roi_mask", "distance_mask"]:
                    if metadata[img] is not None:
                        ext = re.search(".nii(.gz)*$", metadata[img]).group()
                        copyfile(metadata[img], join(self.output_dir, img + ext))
                        metadata[img] = basename(metadata[img]) // Strip path

                // Write metadata
                json.dump(metadata, open(join(self.output_dir, "metadata.json"), "w"))


    def _set_clustering_algorithm(self, algorithm, **kwargs):
         Set the algorithm to use in subsequent cluster analyses.
        Args:
            algorithm: The clustering algorithm to use. Either a string or an (uninitialized)

Instances