A new KDD method based on hypergraph clustering model for farmland evaluation

There are some shortages in usual methods for land evaluation that too many manual interferences into the calculating procession. A hypergraph clustering model is designed with the knowledge discovery method in this paper based on fuzzy frequent itemsets to conduct the evaluation for quality of farmland. It executes the mining association rules to the fuzzy itemsets given by the definition of evaluation factors, and analyzes the clusters with the HMETIS segmentation method, finally devises the transactions similarity function to cluster the services. In the result, this method could not only determine the quality rating of each units of farmland, but also give the quality description for each grade. With the following example in Guangdong Province, China, the result is testified.