Problems and challenges of information resources producers’ clustering
作者：
Highlights：
• Metrics on the space of vectors of unequal lengths is introduced.
• Such vectors may represent data produced by informetric resources producers.
• For example, this include citations to scholarly papers written by scientists.
• Hierarchical clustering methods are applied to partition input data.
• Clusters are homogeneous with respect to quality and quantity of products.
摘要
Highlights•Metrics on the space of vectors of unequal lengths is introduced.•Such vectors may represent data produced by informetric resources producers.•For example, this include citations to scholarly papers written by scientists.•Hierarchical clustering methods are applied to partition input data.•Clusters are homogeneous with respect to quality and quantity of products.
论文关键词：Aggregation,Hierarchical clustering,Distance,Metric
论文评审过程：Received 29 October 2014, Revised 6 February 2015, Accepted 6 February 2015, Available online 25 February 2015.
论文官网地址：https://doi.org/10.1016/j.joi.2015.02.005
