• Computer Science, Mathematics
  • Published in ICML 2015

Unsupervised Deep Embedding for Clustering Analysis

@inproceedings{Xie2015UnsupervisedDE,
  title={Unsupervised Deep Embedding for Clustering Analysis},
  author={Junyuan Xie and Ross B. Girshick and Ali Farhadi},
  booktitle={ICML},
  year={2015}
}
Clustering is central to many data-driven application domains and has been studied extensively in terms of distance functions and grouping algorithms. [...] Key Method DEC learns a mapping from the data space to a lower-dimensional feature space in which it iteratively optimizes a clustering objective. Our experimental evaluations on image and text corpora show significant improvement over state-of-the-art methods.Expand Abstract

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