A method for distinguishing similarity of middle and small river basin

• Main Authors: ZHAO QUN, WAN DINGSHENG, SHI BO, RUAN XIANGCHAO, ZHOU JINYU, LU YUQING
• Format: Patent
• Language: Chinese; English
• Published: 26.02.2019
• Subjects: CALCULATING; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; ELECTRIC DIGITAL DATA PROCESSING; HANDLING RECORD CARRIERS; PHYSICS; PRESENTATION OF DATA; RECOGNITION OF DATA; RECORD CARRIERS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

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