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The keras.wrappers.scikit_learn module can be used to build KerasClassifier model.

Can Keras be used to build clustering models?

If it can be, are there any examples for that?

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  • $\begingroup$ Depends on what exactly you want, autoencoders are an example of that. What clustering algorithm do attempt to use? $\endgroup$ – Media May 9 '18 at 12:43
  • $\begingroup$ you know i want to use some features like age, city, education, company, job title and so on to cluster people into some groups and to get the key features of each group. $\endgroup$ – sanjie May 9 '18 at 13:08
  • $\begingroup$ Deep Learning tools generally suck at clustering. At best they include the slowest variant of k-means. One of the least useful methods. I doubt you find one that has, e.g., DBSCAN. Or even any of the fast k-means variants. Or OPTICS. Or support for other distance functions such as Canberra. $\endgroup$ – Has QUIT--Anony-Mousse May 9 '18 at 16:02
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Yes, you can use Keras to build clustering algorithms. Recalling that Keras is a high-level api for Tensorflow or Theano, and that you can build a K-means algorithm (very well known clustering technique) in Tensorflow, you should be able to build it in Keras. Example (in tensorflow):https://learningtensorflow.com/lesson6/.

Nevertheless, sklearn has in-built clustering algorithms like K-means or Gaussian Mixture Models, so at first, I think a better approach is using these sklearn funcionalities.

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    $\begingroup$ There is no "KNN clustering". There is kNN classification and k-means clustering. That should tell you something about the reliability of that blog post. $\endgroup$ – Has QUIT--Anony-Mousse May 9 '18 at 15:59
  • $\begingroup$ Edited: following @Anony-Mousse $\endgroup$ – ignatius May 10 '18 at 6:34

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