Titlebook: Secondary Metabolites and Volatiles of PGPR in Plant-Growth Promotion; R. Z. Sayyed,Virgilio Gavicho Uarrota Book 2022 The Editor(s) (if a

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Lucky Duhan,Deepika Kumari,Rohit Verma,Ritu Pasrijaand describe the internal structures of data sets. .-Spectral clustering is based on Cheeger cut criterion. It has good performance on many challenging data sets. But the original .-spectral clustering algorithm is not suitable for high-dimensional data. To solve this problem, this paper improves .-

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P. Saranraj,R. Z. Sayyed,M. Kokila,A. Sudha,P. Sivasakthivelan,M. Durga Devi,Rabia Naz,Humaira Yasmiand describe the internal structures of data sets. .-Spectral clustering is based on Cheeger cut criterion. It has good performance on many challenging data sets. But the original .-spectral clustering algorithm is not suitable for high-dimensional data. To solve this problem, this paper improves .-

权宜之计

nel methods, the scale parameter of Gaussian kernel is usually searched in a number of candidate values of the parameter and the best is selected. In this paper, a novel multiple kernel k-means algorithm is proposed based on similarity measure. Our similarity measure meets the requirements of the cl

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Secondary Metabolites and Volatiles of PGPR in Plant-Growth Promotion

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overhaul

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Effect of Volatile Organic Compounds (VOCs) and Secondary Metabolites Produced by Plant Growth-Promactivity, and energy metabolism in germination and early development of seedlings. In addition, the use of PGPR is currently considered a strategy for maintaining agro-ecosystems balance and sustainability in the face of climate change and the prospects for agriculture in the future. Effects of seco

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