A method for distinguishing similarity of middle and small river basin

A discrimination method and similarity technology, applied in character and pattern recognition, structured data retrieval, resources, etc., can solve problems such as no automatic analysis model, non-objective, difficult quantitative similarity analysis of watersheds, etc.

Inactive Publication Date: 2019-02-26
HOHAI UNIV
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AI Technical Summary

Problems solved by technology

However, at this stage, the similarity analysis of small and medium watersheds mainly relies on manual analysis, and there is no complete automatic analysis model
[0004] Nowadays, the analysis and determination of similar watersheds basically rely on the human decisions of hydrologists. This analysi

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  • A method for distinguishing similarity of middle and small river basin
  • A method for distinguishing similarity of middle and small river basin
  • A method for distinguishing similarity of middle and small river basin

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Embodiment Construction

[0051] The technical solutions of the present invention will be further elaborated below according to the drawings and in conjunction with the embodiments.

[0052] figure 1 It is a flow chart of the method of the embodiment of the present invention.

[0053] A method for discriminating the similarity of small and medium river basins, comprising the following steps:

[0054] 1) Construct data set clustering group: select feature index to construct feature subset, and input feature subset into base clustering algorithm to obtain clustering group;

[0055] 2) Constructing the similarity matrix of the clustering group: constructing the similarity matrix of the clustering group as the input matrix of the preset clustering fusion algorithm;

[0056] 3) Matrix cluster fusion: use a preset cluster fusion algorithm to perform cluster fusion on the similarity matrix to realize similarity judgment.

[0057] In this embodiment, according to the screening criteria stipulated by the Min...

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Abstract

A method for distinguish similaritying of middle and small river basin includes such steps: constructing a dataset clustering collective; selecting characteristic index to construct characteristic subset, inputting the characteristic subset into basic clustering algorithm to obtain a clustering subset; constructing the similarity matrix of the clustering collectivity; using the similarity matrix of the clustering collectivity as the input matrix of the preset clustering fusion algorithm; finally, performing matrix clustering fusion: using the preset clustering fusion algorithm to perform clustering fusion of the similarity matrix to realize similarity judgment. The invention fully utilizes the characteristics of the geographic data and the hydrological data of the small and medium-sized watershed, and realizes similarity analysis of the small and medium-sized watershed by using the data mining technology, so as to solve the technical problem that the similarity of the hydrological watershed is difficult to be judged.

Description

technical field [0001] The invention belongs to the technical field of data mining, and in particular relates to a method for discriminating the similarity of small and medium river basins. Background technique [0002] In my country, flood is one of the natural disasters with the highest probability of occurrence and the most serious damage. At present, my country's management of major rivers has tended to be perfect, and the huge investment in embankments, river courses and dam reservoirs has provided a solid foundation for my country's flood control. However, small and medium-sized watersheds will also have large or small flood disasters after heavy rain or heavy rain. Compared with large rivers, many small and medium-sized watersheds have not received enough attention in terms of flood control. According to incomplete statistics, there are more than 50,000 small and medium-sized river basins in China, and 85% of the cities in my country are located along the coast of th...

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Application Information

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IPC IPC(8): G06F16/2458G06F16/29G06K9/62G06Q10/06G06Q50/26
CPCG06Q10/06393G06Q50/26G06F18/23213
Inventor 万定生石波赵群阮祥超周金玉陆宇庆
Owner HOHAI UNIV
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