发明名称 |
Model selection for cluster data analysis |
摘要 |
A model selection method is provided for choosing the number of clusters, or more generally the parameters of a clustering algorithm. The algorithm is based on comparing the similarity between pairs of clustering runs on sub-samples or other perturbations of the data. High pairwise similarities show that the clustering represents a stable pattern in the data. The method is applicable to any clustering algorithm, and can also detect lack of structure. We show results on artificial and real data using a hierarchical clustering algorithm. |
申请公布号 |
AU2002259250(A1) |
申请公布日期 |
2002.12.03 |
申请号 |
AU20020259250 |
申请日期 |
2002.05.17 |
申请人 |
BIOWULF TECHNOLOGIES, LLC |
发明人 |
ANDRE ELISSEEFF;ASA BEN-HUR;ISABELLE GUYON |
分类号 |
G06F19/20;G06F19/24;G06G7/48;G06G7/58;G06K9/62 |
主分类号 |
G06F19/20 |
代理机构 |
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代理人 |
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主权项 |
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地址 |
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