Clustering, dimensionality reduction, and side information

@inproceedings{Jain2006ClusteringDR,
  title={Clustering, dimensionality reduction, and side information},
  author={Anil K. Jain and H. M. C. Law},
  year={2006}
}
Recent advances in sensing and storage technology have created many high-volume, high-dimensional data sets in pattern recognition, machine learning, and data mining. Unsupervised learning can provide generic tools for analyzing and summarizing these data sets when there is no well-defined notion of classes. The purpose of this thesis is to study some of the open problems in two main areas of unsupervised learning, namely clustering and (unsupervised) dimensionality reduction. Instance-level… CONTINUE READING

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