开课单位--马克西米利安大学
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Discovering Non‑Redundant K‑means Clusterings in Optimal Subspaces[在最优子空间中发现非冗余K均值聚类]
Dominik Mautz(马克西米利安大学) A huge object collection in high-dimensional space can often be clustered in more than one way, for instance, objects could be clustered by their shap...
热度:27
Dominik Mautz(马克西米利安大学) A huge object collection in high-dimensional space can often be clustered in more than one way, for instance, objects could be clustered by their shap...
热度:27
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Detecting Arbitrarily Oriented Subspace Clusters in Data Streams Using Hough Transform[利用Hough变换检测数据流中任意方向的子空间簇]
Felix Borutta(马克西米利安大学) Detecting Arbitrarily Oriented Subspace Clusters in Data Streams Using Hough Transform
热度:26
Felix Borutta(马克西米利安大学) Detecting Arbitrarily Oriented Subspace Clusters in Data Streams Using Hough Transform
热度:26
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