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Showing 1 to 4 of 4 for “"Evolutionary clustering"”.

  1. Outcome prediction and structure discovery in healthcare data

    … We then turn to overcoming limitations in two clustering settings. In a semi-supervised setting, where pairwise constraints (relationships between pairs of points) are available, we develop an algorithm capable of performing accurate clustering under noisy constraints. This is achieved via soft …

    texas Repository record for Outcome prediction and structure discovery in healthcare data (opens in a new tab)

  2. Evolutionary cluster costing for weapon system early design

    The Evolutionary Cluster Costing Methodology (ECCM) is proposed for estimating the cost of designing and producing a weapon system at the early design stage. The issue is related to the particular difficulties which system designers often encounter in the absence of cost data on present system …

    unsw Repository record for Evolutionary cluster costing for weapon system early design (opens in a new tab)

  3. Modeling Temporal and Spatial Data Dependence with Bayesian Nonparametrics

    … are generated.</p> <p>Focused on model-based clustering and segmentation, this thesis addresses the issue in different ways, for temporal and spatial dependence.</p> <p>For sequential data analysis, the dynamic hierarchical Dirichlet process is proposed to capture the temporal dependence …

    duke Repository record for Modeling Temporal and Spatial Data Dependence with Bayesian Nonparametrics (opens in a new tab)

  4. Complex data analytics via sparse, low-rank matrix approximation

    … Decomposition (EMD), a novel method for fast clustering large-scale data by incorporating low-rank approximations into matrix decomposition-based clustering; 2) we propose ECKF, a general model for large-scale Evolutionary Clustering based on low-rank Kernel matrix Factorization; by monitoring …

    wayne-thes Repository record for Complex data analytics via sparse, low-rank matrix approximation (opens in a new tab)