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公开(公告)号:US11544491B2
公开(公告)日:2023-01-03
申请号:US16743306
申请日:2020-01-15
发明人: Maziyar Baran Pouyan , Yao A. Yang , Saeideh Shahrokh Esfahani , Andrew E. Fano , David William Vinson , Timothy M. Shea , Jesus Sanchez-Macias
摘要: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for clustering data are disclosed. In one aspect, a method includes the actions of receiving feature vectors. The actions further include, for a subset of the feature vectors, accessing a first label. The actions further include generating a classifier that is configured to associate a given feature vector with a feature vector of the subset of the feature vectors. The actions further include applying the feature vectors that are not included in the subset of the feature vectors to the classifier. The actions further include generating a dissimilarity matrix. The actions further include, based on the dissimilarity matrix, generating a graph. The actions further include, for each node of the graph, determining a second label. The actions further include, based on the second labels and the first labels, determining a training label for each feature vector.
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公开(公告)号:US20210216813A1
公开(公告)日:2021-07-15
申请号:US16743306
申请日:2020-01-15
发明人: Maziyar Baran Pouyan , Yao A. Yang , Saeideh Shahrokh Esfahani , Andrew E. Fano , David William Vinson , Timothy M. Shea , Jesus Sanchez-Macias
摘要: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for clustering data are disclosed. In one aspect, a method includes the actions of receiving feature vectors. The actions further include, for a subset of the feature vectors, accessing a first label. The actions further include generating a classifier that is configured to associate a given feature vector with a feature vector of the subset of the feature vectors. The actions further include applying the feature vectors that are not included in the subset of the feature vectors to the classifier. The actions further include generating a dissimilarity matrix. The actions further include, based on the dissimilarity matrix, generating a graph. The actions further include, for each node of the graph, determining a second label. The actions further include, based on the second labels and the first labels, determining a training label for each feature vector.
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