Area data visualization method based on density clustering
A technology of regional data and density clustering, which is applied in the field of data processing and can solve problems such as inaccurate results.
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[0030] A method for visualizing regional data based on density clustering, the method includes the following steps:
[0031] 1) Create a cube dataset.
[0032] Create a multi-dimensional data warehouse set D for clustering and load analysis, which mainly includes data subsets with industry representative characteristics, associated meteorological information data subsets, and associated area information code subsets. The data model established in a multi-dimensional way is beneficial to simplify the complexity of business analysis and improve the performance of data query.
[0033] 2) Clustering model based on density calculation.
[0034] For dataset D, the cluster center point is determined according to the estimation model of the following clustering target:
[0035] density ( x i ) = Σ j = 1 ...
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