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  1. Article ; Online: A novel bidirectional clustering algorithm based on local density.

    Lyu, Baicheng / Wu, Wenhua / Hu, Zhiqiang

    Scientific reports

    2021  Volume 11, Issue 1, Page(s) 14214

    Abstract: With the widely application of cluster analysis, the number of clusters is gradually increasing, as is the difficulty in selecting the judgment indicators of cluster numbers. Also, small clusters are crucial to discovering the extreme characteristics of ... ...

    Abstract With the widely application of cluster analysis, the number of clusters is gradually increasing, as is the difficulty in selecting the judgment indicators of cluster numbers. Also, small clusters are crucial to discovering the extreme characteristics of data samples, but current clustering algorithms focus mainly on analyzing large clusters. In this paper, a bidirectional clustering algorithm based on local density (BCALoD) is proposed. BCALoD establishes the connection between data points based on local density, can automatically determine the number of clusters, is more sensitive to small clusters, and can reduce the adjusted parameters to a minimum. On the basis of the robustness of cluster number to noise, a denoising method suitable for BCALoD is proposed. Different cutoff distance and cutoff density are assigned to each data cluster, which results in improved clustering performance. Clustering ability of BCALoD is verified by randomly generated datasets and city light satellite images.
    Language English
    Publishing date 2021-07-09
    Publishing country England
    Document type Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-021-93244-2
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: A novel bidirectional clustering algorithm based on local density

    Baicheng Lyu / Wenhua Wu / Zhiqiang Hu

    Scientific Reports, Vol 11, Iss 1, Pp 1-

    2021  Volume 10

    Abstract: Abstract With the widely application of cluster analysis, the number of clusters is gradually increasing, as is the difficulty in selecting the judgment indicators of cluster numbers. Also, small clusters are crucial to discovering the extreme ... ...

    Abstract Abstract With the widely application of cluster analysis, the number of clusters is gradually increasing, as is the difficulty in selecting the judgment indicators of cluster numbers. Also, small clusters are crucial to discovering the extreme characteristics of data samples, but current clustering algorithms focus mainly on analyzing large clusters. In this paper, a bidirectional clustering algorithm based on local density (BCALoD) is proposed. BCALoD establishes the connection between data points based on local density, can automatically determine the number of clusters, is more sensitive to small clusters, and can reduce the adjusted parameters to a minimum. On the basis of the robustness of cluster number to noise, a denoising method suitable for BCALoD is proposed. Different cutoff distance and cutoff density are assigned to each data cluster, which results in improved clustering performance. Clustering ability of BCALoD is verified by randomly generated datasets and city light satellite images.
    Keywords Medicine ; R ; Science ; Q
    Subject code 006
    Language English
    Publishing date 2021-07-01T00:00:00Z
    Publisher Nature Portfolio
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: The niche complementarity driven by rhizosphere interactions enhances phosphorus‐use efficiency in maize/alfalfa mixture

    Liyang Wang / Baicheng Hou / Deshan Zhang / Yang Lyu / Kai Zhang / Haigang Li / Zed Rengel / Jianbo Shen

    Food and Energy Security, Vol 9, Iss 4, Pp n/a-n/a (2020)

    2020  

    Abstract: Abstract Rhizosphere interactions between intercropping maize and alfalfa to increase phosphorus (P) acquisition remain largely unknown. This study aimed to investigate the mechanisms underlying niche complementarity to increase P acquisition in the ... ...

    Abstract Abstract Rhizosphere interactions between intercropping maize and alfalfa to increase phosphorus (P) acquisition remain largely unknown. This study aimed to investigate the mechanisms underlying niche complementarity to increase P acquisition in the maize/alfalfa mixture by influencing root/rhizosphere interactions. Maize was grown alone (single maize) or with maize (maize/maize) or alfalfa (maize/alfalfa) with low P (30 mg P kg−1 soil) and high P (150 mg P kg−1 soil) supplies. The target maize had greater shoot biomass and P content when grown with alfalfa than maize. Compared with maize, alfalfa had higher secretion of carboxylates and acid phosphatase, suggesting a stronger capacity to mobilize soil P. Phosphorus deficiency also increased the specific root length and the proportion of thin roots (diameter < 0.2 mm) in alfalfa, and intercropped alfalfa had higher carboxylates secretion than monocropped one, indicating that alfalfa root traits were modified by both soil P supply and the identity of neighbor. Increased soil P availability by alfalfa root exudation and improved rhizosphere environment by thin alfalfa roots promoted shoot growth and P acquisition of maize in the maize/alfalfa mixture. The presence of maize increased the secretion of carboxylates from alfalfa roots, suggesting that the root interactions between maize and alfalfa are crucial for improving P‐use efficiency and productivity in intercropping.
    Keywords Alfalfa (Medicago sativa L.) ; intercropping ; Maize (Zea mays L.) ; phosphorus uptake ; rhizosphere processes ; Agriculture ; S ; Agriculture (General) ; S1-972
    Subject code 580
    Language English
    Publishing date 2020-11-01T00:00:00Z
    Publisher Wiley
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

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    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

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