Title | ||
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An improved fast fuzzy c-means using crow search optimization algorithm for crop identification in agricultural. |
Abstract | ||
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•An improved FFCM clustering algorithm based on CSA is proposed for PA.•CSA-FFCM is able to avoid difficulties in the identification of vegetation.•The aim of CSA is to find best cluster centroids and avoids stuck in local minima.•CSA has strong ability of the global optimization with fewer parameters.•The proposed approach obtains better results in comparison with other methods. |
Year | DOI | Venue |
---|---|---|
2019 | 10.1016/j.eswa.2018.10.009 | Expert Systems with Applications |
Field | DocType | Volume |
Data mining,Pattern recognition,Iterative and incremental development,Local optimum,Computer science,Fuzzy logic,Maxima and minima,Artificial intelligence,Cluster analysis,Histogram equalization,Optimization problem,Centroid | Journal | 118 |
ISSN | Citations | PageRank |
0957-4174 | 4 | 0.44 |
References | Authors | |
22 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Ahmed M. Anter | 1 | 44 | 7.37 |
Aboul Ella Hassenian | 2 | 10 | 1.22 |
Diego Oliva | 3 | 336 | 27.66 |