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In brief, HDBSCAN Density-Based Clustering Specialist is an open source clustering algorithm developed by a research group from U.K. Department of ecology, and currently used as a popular technique for computer vision and many other image-related fields. There are two main types of clustering: HDBSCAN algorithm (meaning “high density sieve” in French) and its variant “kmeans”. HDBSCAN is usually the preferred algorithm because it has a higher speed, and more accurate results than k-means
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