图 书 馆开课单位--马克西米利安大学
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1Discovering 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：30
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：30
2Detecting 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：31
Felix Borutta(马克西米利安大学) Detecting Arbitrarily Oriented Subspace Clusters in Data Streams Using Hough Transform
热度：31
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