A Generative Clustering Ensemble Model and Its Application in IoT Data Analysis

Algorithm 1

The implementation of the GCE model.

Input: Data samples X, learning rate , number

   of Monte Carlo samples in SGVB

   estimator M, epochs L.

Output: Consistent clustering result

   .

1 Produce an ensemble of base clusterings for X;

2 From Equation (11), construct the affinity matrix

  A to represent structure information for X;

3 Choose ;

4 fordo

5  fordo

6    ;

7    ;

8    Sample ;

9    Sample ;

10       Generate reconstructed ;

11       From Equation (24), compute

      ;

12       Backpropogate gradients

13  end

14 end

15 From Equation (27), obtain the category

  assignment ;

16 return