• Corpus ID: 52956330

Improvement of K Mean Clustering Algorithm Based on Density

  title={Improvement of K Mean Clustering Algorithm Based on Density},
  author={Su Chang and Zhenzong Xu and Gao Xuan},
The purpose of this paper is to improve the traditional K-means algorithm. In the traditional K mean clustering algorithm, the initial clustering centers are generated randomly in the data set. It is easy to fall into the local minimum solution when the initial cluster centers are randomly generated. The initial clustering center selected by K-means clustering algorithm which based on density is more representative. The experimental results show that the improved K clustering algorithm can… 

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    To ensure that DN is the larger one in first two columns of the maximum value, and count it as the total number of data points