• Automatic semiconductor wafer map defect signature detection using a neural network classifier 

    Radhamohan, Ranjan Subbaraya (2010-12)
    The application of popular image processing and classification algorithms, including agglomerative clustering and neural networks, is explored for the purpose of grouping semiconductor wafer defect map patterns. Challenges ...
  • Combining classifier and cluster ensembles for semi-supervised and transfer learning 

    Acharya, Ayan (2012-05)
    Unsupervised models can provide supplementary soft constraints to help classify new, "target" data since similar instances in the target set are more likely to share the same class label. Such models can also help detect ...
  • Community detection in network analysis: a survey 

    Zhang, Lingjia (2016-05-02)
    The existence of community structures in networks is not unusual, including in the domains of sociology, biology, and business, etc. The characteristic of the community structure is that nodes of the same community are ...
  • CUDIA : a probabilistic cross-level imputation framework using individual auxiliary information 

    Park, Yubin (2011-12)
    In healthcare-related studies, individual patient or hospital data are not often publicly available due to privacy restrictions, legal issues or reporting norms. However, such measures may be provided at a higher or more ...
  • Document clustering with nonparametric hierarchical topic modeling 

    Schaefer, Kayla Hope (2015-05)
    Since its introduction, topic modeling has been a fundamental tool in analyzing corpus structures. While the Relational Topic Model provides a way to link, and subsequently cluster, documents together as an extension of ...
  • Overlapping community detection in massive social networks 

    Whang, Joyce Jiyoung (2015-12)
    Massive social networks have become increasingly popular in recent years. Community detection is one of the most important techniques for the analysis of such complex networks. A community is a set of cohesive vertices ...
  • Statistical clustering of data 

    Zhang, Lihao; 0000-0003-0368-0657 (2015-05)
    Cluster analysis aims at segmenting objects into groups with similar members and, therefore helps to discover distribution of properties and correlations in large datasets. Data clustering has been widely studied as it ...
  • Topic modeling via scatter/gather clustering 

    Tyler, Marcus Mitchell; 0000-0002-7421-5165 (2015-05)
    Latent variable models such as Latent Dirichlet Allocation provide rich tools for analyzing large document corpora. They can uncover a wide range of hidden information such as topics in text, communities in social networks, ...