Maximum Margin Multiple Instance Clustering With Applications to Image and Text Clustering

@article{Zhang2011MaximumMM,
  title={Maximum Margin Multiple Instance Clustering With Applications to Image and Text Clustering},
  author={Dan Zhang and Fei Wang and Luo Si and Tao Li},
  journal={IEEE Transactions on Neural Networks},
  year={2011},
  volume={22},
  pages={739-751}
}
In multiple instance learning problems, patterns are often given as bags and each bag consists of some instances. Most of existing research in the area focuses on multiple instance classification and multiple instance regression, while very limited work has been conducted for multiple instance clustering (MIC). This paper formulates a novel framework, maximum margin multiple instance clustering (M3IC), for MIC. However, it is impractical to directly solve the optimization problem of M3IC… CONTINUE READING
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An improved multipleinstance learning technique

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