Abstract: DBSCAN is one of the most popular and effective clustering algorithms that is capable of identifying arbitrary-shaped clusters and noise efficiently. However, its super-linear complexity ...
Abstract: Clustering is a data mining approach that divides data into groups that are meaningful, useful, or both. Well-known clustering algorithms include Kmeans, BIRCH, Wave-Cluster, and DBSCAN.
Machina watches video feeds and automatically detects objects like people, cars, and other things you care about. It keeps track of each object and can record video or take screenshots when needed.
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