An Adaptive Incremental Clustering Method based on the Growing Neural Gas Algorithm

@inproceedings{Bouguelia2013AnAI,
  title={An Adaptive Incremental Clustering Method based on the Growing Neural Gas Algorithm},
  author={Mohamed-Rafik Bouguelia and Yolande Bela{\"i}d and Abdel Bela{\"i}d},
  booktitle={ICPRAM},
  year={2013}
}
Usually, incremental algorithms for data streams clustering not only suffer from sensitive initialization parameters, but also incorrectly represent large classes by many cluster representatives, which leads to decrease the computational efficiency over time. We propose in this paper an incremental clustering algorithm based on ”growing neural gas” (GNG), which addresses this issue by using a parameter-free adaptive threshold to produce representatives and a distance-based probabilistic… CONTINUE READING
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