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Parameter Estimation for Non-Gaussian Model-Based Clustering with High-Dimensional Data

Parameter Estimation for Non-Gaussian Model-Based Clustering with High-Dimensional Data
基于非高斯模型的高维数据聚类参数估计
批准号:
RGPIN-2017-05258
负责人:
McNicholas, Sharon
金额:
$1.02万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2017
资助国家:
加拿大
项目状态:
已结题
起止时间:
2017-01-01 至 2018-12-31

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Big data is an important issue for modern data and statistical analysis. Computers can store huge amounts of data; however, methods to accurately and quickly analyze the data have not kept pace with improvements to modern storage technology. In some cases, data are discarded without being analyzed. Improved statistical analysis of big data will benefit any field dealing with massive amounts of data, such as biological sciences (e.g., genomics), finance and informatics, astronomy, cosmology, and climate science.
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Parameter Estimation for Non-Gaussian Model-Based Clustering with High-Dimensional Data
  • 批准号:
    RGPIN-2017-05258
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.04万
  • 财政年份:
    2022
  • 负责人:
    McNicholas, Sharon
  • 依托单位:
Parameter Estimation for Non-Gaussian Model-Based Clustering with High-Dimensional Data
  • 批准号:
    RGPIN-2017-05258
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.02万
  • 财政年份:
    2021
  • 负责人:
    McNicholas, Sharon
  • 依托单位:
Parameter Estimation for Non-Gaussian Model-Based Clustering with High-Dimensional Data
  • 批准号:
    RGPIN-2017-05258
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.02万
  • 财政年份:
    2020
  • 负责人:
    McNicholas, Sharon
  • 依托单位:
Parameter Estimation for Non-Gaussian Model-Based Clustering with High-Dimensional Data
  • 批准号:
    RGPIN-2017-05258
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $1.02万
  • 财政年份:
    2018
  • 负责人:
    McNicholas, Sharon
  • 依托单位:
海外基金