Clustering of Distributions: A Case of Patent Citations
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DOI: 10.1007/s00357-011-9084-x
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References listed on IDEAS
- Hall, B. & Jaffe, A. & Trajtenberg, M., 2001.
"The NBER Patent Citations Data File: Lessons, Insights and Methodological Tools,"
Papers
2001-29, Tel Aviv.
- Bronwyn H. Hall & Adam B. Jaffe & Manuel Trajtenberg, 2001. "The NBER Patent Citation Data File: Lessons, Insights and Methodological Tools," NBER Working Papers 8498, National Bureau of Economic Research, Inc.
- Hall, Bronwyn & Trajtenberg, Manuel & Jaffe, Adam B, 2001. "The NBER Patent Citations Data File: Lessons, Insights and Methodological Tools," CEPR Discussion Papers 3094, C.E.P.R. Discussion Papers.
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- Elisa Bellotti & Luka Kronegger & Luigi Guadalupi, 2016. "The evolution of research collaboration within and across disciplines in Italian Academia," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(2), pages 783-811, November.
- Nataša Kejžar & Simona Korenjak-Černe & Vladimir Batagelj, 2021. "Clustering of modal-valued symbolic data," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 15(2), pages 513-541, June.
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Keywords
Clustering; Distribution; Leaders method; k-means method; Agglomerative hierarchical clustering method; Temporal citation distribution; Citation network; Relative error measure; Patents;All these keywords.
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