Glosarium AI
Kamus lengkap Kecerdasan Buatan
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Spatial Clustering
Application of DBSCAN to geospatial data where the density of points in physical space determines the formation of meaningful clusters.
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DBSCAN Silhouette Score
Evaluation metric specifically adapted for DBSCAN measuring intra-cluster cohesion and inter-cluster separation, including noise points.
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R-tree Indexing
Spatial optimization structure accelerating neighborhood queries in DBSCAN by recursively partitioning space for efficient neighbor point searches.
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Adaptive ε Parameter
Technique where ε varies according to local data density rather than being globally constant, improving detection of clusters with heterogeneous densities.
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