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  "Description": "Provides methods for analysing datasets containing\nquantitative, qualitative, binary, and ordinal traits. Computes\nmixed-trait dissimilarities and performs hierarchical\nclustering using multiple linkage methods. Supports principal\ncoordinates analysis (PCoA), cluster evaluation, trait\ncontribution analysis, and graphical visualization. The package\nfacilitates mixed-trait diversity assessment and\ncharacterization of crop germplasm. For more detail see Gower\n(1971) <doi:10.2307/2528823> and Jukanti et al. (2026)\n<doi:10.1007/s44187-025-00715-w>.",
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      "title": "Perform Hierarchical Clustering on Mixed-Trait Data",
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      "title": "Calculate Mixed-Trait Dissimilarity",
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      "author": "Santosha Rathod, Prabhat Kumar, A. K. Jukanti, Radha Upadhyay, Prashantkumar S. Hanjagi, Basavaraj P. S., R. N. Singh, and Anil Kumar",
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        "2. Types of Traits",
        "3. Mixed-Trait Dissimilarity",
        "4. Hierarchical Clustering",
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        "6. Cluster Evaluation",
        "7. Trait Contribution Analysis",
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        "8.1 Load the package",
        "8.2 Prepare an example dataset",
        "8.3 Calculate mixed-trait dissimilarities",
        "8.4 Perform hierarchical clustering",
        "8.5 Conduct Principal Coordinates Analysis",
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