DBSCAN clustering algorithm-based method for checking missing registration of key personnel and houses
A clustering algorithm and housing technology, applied in computing, computer parts, instruments, etc., can solve problems such as weakening feature attributes, unsatisfactory clustering effects, misclustering, etc., to achieve accurate similarity, scientific verification work, The effect of improving clustering performance
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[0041] The specific embodiments of the present invention will be described in further detail below in conjunction with the drawings and embodiments. The following examples are used to illustrate the present invention, but not to limit the scope of the present invention.
[0042] Such as figure 1 , figure 2 Based on the DBSCAN clustering algorithm, the method of checking key personnel and houses for missing registration is unique in that it includes the following steps:
[0043] First, preprocess the population and housing data sets collected by the police, including missing value filling, discretization of categorical variables, and standardization of numerical variables. Specifically, to preprocess the population and house-related data features in the public security population and housing database, including one-hot coding for categorical features in the population and house-related data features, and dimensionless numerical feature variables deal with. In order to meet the c...
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