Spatial Clustering
Spatial clustering is a technique used in data science and artificial intelligence to group together data points that are geographically close to each other. This technique is commonly used in fields such as urban planning, epidemiology, and environmental science to identify patterns and relationships between data points. Spatial clustering algorithms use distance metrics to determine the proximity of data points and group them together based on a set of predefined criteria. The resulting clusters can then be analyzed to identify trends, patterns, and relationships between the data points. Spatial clustering is an important tool in data science and artificial intelligence as it allows for the identification of spatial patterns and relationships that may not be apparent through other analytical techniques.
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