Criminal case association series-parallel method and system based on clustering technology
A case and technology technology, which is applied in the field of criminal cases related serialization methods and systems, and can solve the problems of non-unique data, low efficiency, and low accuracy.
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Embodiment 1
[0090] like figure 1 As shown, the present invention provides a kind of clustering technology-based criminal case correlation stringing method, comprising the following steps:
[0091] S1. Obtain high-dimensional and heterogeneous data type case data variables related to case correlation analysis;
[0092] S2. Establish a similarity model describing the degree of case correlation according to the case data variables, and calculate a similarity matrix according to the similarity model;
[0093] S3. Using graph decomposition technology, decompose a graph converted from the similarity matrix into several connected subgraphs;
[0094] S4. Use a clustering algorithm to perform graph cutting calculations on connected subgraphs, and accurately group all cases;
[0095] S5. Extract the key feature parameters of each case group, and push the key feature parameters to the user according to the priority.
[0096] like figure 2 As shown, the analysis process of the criminal case corr...
Embodiment 2
[0161] like Figure 4 As shown, the present invention also provides a clustering technology-based criminal case correlation system, including:
[0162] The data variable acquisition module is used to acquire high-dimensional and heterogeneous data type case data variables related to case correlation analysis;
[0163] The similarity matrix calculation module is used to establish a similarity model describing the degree of case correlation according to the case data variables, and calculate the similarity matrix according to the similarity model;
[0164] The graph decomposition module is used to decompose a graph converted from the similarity matrix into several connected subgraphs by using graph decomposition technology;
[0165] The clustering analysis module is used to perform graph cutting calculations using clustering algorithms on connected subgraphs, and accurately group all cases;
[0166] The feature extraction push module is used to extract the key feature paramete...
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