Corpus ID: 88515811

Improved Clustering with Augmented k-means

@article{Howe2017ImprovedCW,
  title={Improved Clustering with Augmented k-means},
  author={John Andrew Howe},
  journal={arXiv: Machine Learning},
  year={2017}
}
  • John Andrew Howe
  • Published 2017
  • Mathematics
  • arXiv: Machine Learning
  • Identifying a set of homogeneous clusters in a heterogeneous dataset is one of the most important classes of problems in statistical modeling. In the realm of unsupervised partitional clustering, k-means is a very important algorithm for this. In this technical report, we develop a new k-means variant called Augmented k-means, which is a hybrid of k-means and logistic regression. During each iteration, logistic regression is used to predict the current cluster labels, and the cluster belonging… CONTINUE READING

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