KMeans label attribute

Question

How to fix that thing? I was trying to follow the video. Thank you so much.

df_segm_pca_kmeans = pd.concat([df_segmentation.reset_index(drop = True), pd.DataFrame(scores_pca)], axis = 1)

df_segm_pca_kmeans.columns.values[-3: ] = ["Component 1", "Component 2", "Component 3"]

df_segm_pca_kmeans["Segment K-means PCA"] = kmeans_pca.labels_

df_segm_pca_kmeans

---------------------------------------------------------------------------
AttributeError                            Traceback (most recent call last)
<ipython-input-52-a697fdea9e43> in <module>
      1 df_segm_pca_kmeans = pd.concat([df_segmentation.reset_index(drop = True), pd.DataFrame(scores_pca)], axis = 1)
      2 df_segm_pca_kmeans.columns.values[-3: ] = ["Component 1", "Component 2", "Component 3"]
----> 3 df_segm_pca_kmeans["Segment K-means PCA"] = kmeans_pca.labels_
      4 df_segm_pca_kmeans

AttributeError: 'KMeans' object has no attribute 'labels_'

Answer 1

Hi Liqian, You need to fit your kmeans_pca first, for it to have the labels_ attribute. So, you should make sure you run this line: kmeans_pca.fit(scores_pca) before you create the df_segm_pca_kmeans table. Hope this helps! Best, Eli

KMeans label attribute

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