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Learning to Match and Cluster Large High-Dimensional Data Sets For Data Integration

机译：学习匹配和聚类大型高维数据集以进行数据集成

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William W. Cohen; Jacob Richman;
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年度 2002
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2. Query-learning-based iterative feature-subset selection for learning from high-dimensional data sets [J] . Hiroshi Mamitsuka Knowledge and information systems . 2006,第1期

机译：从高维数据集学习的基于查询学习的迭代特征子集选择
3. Query-learning-based iterative feature-subset selection for learning from high-dimensional data sets [J] . Hiroshi Mamitsuka Knowledge and Information Systems . 2006,第1期

机译：从高维数据集学习的基于查询学习的迭代特征子集选择
4. Learning to match and cluster large high-dimensional data sets for data integration [C] . William W. Cohen, Jacob Richman Proceedings of the Eighth ACM SIGKDD international conference on knowledge discovery and data mining(KDD-2000) . 2002

机译：学习匹配和聚类大型高维数据集以进行数据集成
5. Efficient computation of k-nearest neighbor graphs for large high-dimensional data sets on gpu clusters. [D] . Dashti, Ali. 2013

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6. Efficient Computation of k-Nearest Neighbour Graphs for Large High-Dimensional Data Sets on GPU Clusters [O] . Ali Dashti, Ivan Komarov, Roshan M. D’Souza -1

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7. Analysis of clinical flow cytometric immunophenotyping data by clustering on statistical manifolds: Treating flow cytometry data as high-dimensional objects How to cite this article: Finn WG, Carter KM, Raich R, Stoolman LM, Hero AO. Analysis of clinical flow cytometric immunophenotyping data by clustering on statistical manifolds: Treating flow cytometry data as high-dimensional objects. Cytometry Part B 2009; 76B: 1–7. [O] . Finn, William G., Carter, Kevin M., Raich, Raviv, 2009

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8. Statistical Analysis of Very High-Dimensional Data Sets of Hierarchically Structured Binary Variables with Missing Data and Application to Marine Corps Readiness Evaluations [R] . Zacks, S., Marlow, W. H., Brier, S. S. 1983

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Learning to Match and Cluster Large High-Dimensional Data Sets For Data Integration

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