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4 search results found
Clusteringdirectioncentrality
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49
A novel Clustering algorithm by measuring Direction Centrality (CDC) locally. It adopts a density-independent metric based on the distribution of K-nearest neighbors (KNNs) to distinguish between internal and boundary points. The boundary points generate enclosed cages to bind the connections of internal points.
Imagelabeler Api
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7
Convenient image annotation tool API
Jason2_altika_timeseriesgeneration
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6
Countingresskeys
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5
Count the number of keys to each portal
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