A New Evolving Tree-Based Model with Local Re-learning for Document Clustering and Visualization

@article{Chang2017ANE,
  title={A New Evolving Tree-Based Model with Local Re-learning for Document Clustering and Visualization},
  author={Wui Lee Chang and Kai Meng Tay and Chee Peng Lim},
  journal={Neural Processing Letters},
  year={2017},
  volume={46},
  pages={379-409}
}
The Evolving tree (ETree) is a hierarchical clustering and visualization model that allows the number of clusters to grow and evolve with new data samples in an online learning manner. While many hierarchical clustering models are available in the literature, ETree stands out because of its visualization capability. It is an enhancement of the Self-Organizing Map, a famous and useful clustering and visualization model. ETree organises the trained data samples in the form of a tree structure for… Expand
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