A Geographic Suitability Classification Method Based on k-medoids Algorithm

A classification method and suitability technology, applied in the direction of calculation, computer parts, instruments, etc., can solve problems such as errors, high data sample requirements, and inability to calculate average real number variables, etc., to improve accuracy and weaken outliers the effect of the influence

Active Publication Date: 2021-09-28
HOHAI UNIV
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Problems solved by technology

K-medoids algorithm, as an improvement of K-means clustering algorithm, can divide pixels with "similar" features in a large number of data sets into the same category. At the same time, k-means clustering algorithm has higher requirements for data samples. All data samples are in a Euclidean space, which will cause great errors for data with a lot of noise. Secondly, for non-numeric data samples, it is impossible to calculate real variables such as average values.

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  • A Geographic Suitability Classification Method Based on k-medoids Algorithm
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  • A Geographic Suitability Classification Method Based on k-medoids Algorithm

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[0042] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0043] Such as figure 1 Shown, the present invention has designed a kind of geographical suitability classification method based on K-medoids algorithm, comprises the steps:

[0044] Step A. Use the following steps A1 to A4. Based on the geographical suitability analysis and the gray scale image of the comprehensive score of the geographical suitability of the target area obtained, the quantile method of the preset quantile is used to perform classification operations, and the geographical suitability Each pixel in the grayscale image of the comprehensive score of sexuality is divided into the preset quantiles and geographical suitability categories.

[0045] Step A1. Based on the geographical suitability analysis and the grayscale map of the comprehensive score of the geographical suitability of the target area obtaine...

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Abstract

The present invention relates to a geographical suitability classification method based on the K-medoids algorithm. The K-medoids clustering algorithm is used to carry out the initial classification of the preset quantile method for the suitability comprehensive score map obtained by the geographical suitability analysis of the target area, and determine The prior clustering standard of the clustering algorithm enables the K-medoids clustering algorithm to adaptively perform further suitability division on the comprehensive score result map of the initial classification of the preset quantile method, and classify each preset suitability division Various standard areas can effectively weaken the influence of outliers in sample pixel values, improve the accuracy of suitability division, and clearly discover the characteristics of different categories, which greatly improves the accuracy of geographical suitability division.

Description

technical field [0001] The invention relates to a geographical suitability classification method based on a K-medoids algorithm, and belongs to the field of geographical suitability classification and the technical field of data mining. Background technique [0002] Geographical suitability analysis has always played a fundamental role in planning applications. In geographical suitability analysis, the comprehensive suitability score map obtained by merging many single-index suitability grade maps needs to be further refined. Suitability ratings. The existing suitability grading methods rely on expert evaluation or technical personnel's experience, which is subjective. K-medoids algorithm, as an improvement of K-means clustering algorithm, can divide pixels with "similar" features in a large number of data sets into the same category. At the same time, k-means clustering algorithm has higher requirements for data samples. All data samples are in a Euclidean space, which wi...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62
CPCG06F18/23211G06F18/24
Inventor 葛莹高海峰鲍倩
Owner HOHAI UNIV
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