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Hierarchical clustering of e-resources using the lexically smoothed descriptor similarity matrix (method 3). (A) The scores based on binary weights. (B) The scores based on tf*idf. Distances were calculated as (1 – Sim3). Ward’s minimum variance clustering method [21] was used to cluster the data. The tree generated using R function ‘hclust’ [20].
