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Fig. 7 | Plant Methods

Fig. 7

From: Combining self-organizing maps and biplot analysis to preselect maize phenotypic components based on UAV high-throughput phenotyping platform

Fig. 7

Hierarchical agglomerative clustering for codebook. Clustering the codebooks resulted in the identification of three major clusters marked in three colors, to which different genotype samples had been assigned (left: clustering samples by rows). The dendrogram on the top showed the measure of phenotypic components similarity (clustering phenotypic components by columns). Converting categorical variables into dummy variables expanded to 15 the number of phenotypic components used for clustering. The initial letter “Z” indicated that this variable was standardized

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