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Identifying information related to a particular entity from electronic sources, using dimensional reduction and quantum clustering
Identifying information related to a particular entity from electronic sources, using dimensional reduction and quantum clustering
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机译:使用降维和量子聚类从电子资源中识别与特定实体有关的信息
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摘要
Presented are systems and methods for identifying information about a particular entity including acquiring electronic documents having unstructured text, that are selected based on one or more search terms from a plurality of terms related to the particular entity. Tokenizing the acquired documents to form a data matrix and then calculating a plurality of eigenvectors, using the data matrix and the transpose of the data matrix. The variance is then acquired for determining the amount of intra-clustering between the documents and then the acquired documents are clustered using some of the eigenvectors and the variance.
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