Hierarchical clustering

In data mining and statistics, hierarchical clustering (also called hierarchical cluster analysis or HCA) is a method of cluster analysis which seeks to build a hierarchy of clusters. Strategies for hierarchical clustering generally fall into two types:

 More from Wikipedia

Metrics Summary

Total Publications

Lifetime

3,848

Prior Five Years

1,227

Total Citations

Lifetime

78,448

Prior Five Years

8,125

Total Scholars

Lifetime

8,063

Prior Five Years

6,817

Institutional Rankings

Global (Worldwide)

Academic Institutions Lifetime		Academic Institutions Prior Five Years		Non-academic Institutions Lifetime
#1	University of Minnesota, Twin Cities United States	#1	Stanford University United States	#1	Microsoft Corporation United States
#2	Durham University United Kingdom	#2	University of Wollongong Australia	#2	Max Planck Institute for Astrophysics Germany
#3	University of California, Los Angeles United States	#3	University of Messina Italy	#3	Avaya Inc. United States
#4	University of Huddersfield United Kingdom	#4	University of Rochester United States
#5	Royal Holloway, University of London United Kingdom	#5	University of Oxford United Kingdom
#6	University of Wisconsin - Madison United States	#5	University of Wisconsin - Madison United States
#7	University of Tsukuba Japan	#5	King's College London United Kingdom
#8	Pázmány Péter Catholic University Hungary	#6	University of Huddersfield United Kingdom
#9	University of California, Davis United States	#7	Chukwuemeka Odumegwu Ojukwu University Nigeria
#10	University of Pisa Italy	#8	National University of Singapore Singapore
	Show More		Show More

National Institutional Rankings

Publications and Citation History

Publications based on Disciplines

Scholars based on Disciplines

Publications based on Fields

Scholars based on Fields

Highly Ranked Scholars™

Lifetime

Prior Five Years

Evaluation Period:

Highly Cited Publications

Lifetime