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NP-hardness of Euclidean sum-of-squares clustering

Overview of attention for article published in Machine Learning, January 2009
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Mentioned by

wikipedia
5 Wikipedia pages

Citations

dimensions_citation
618 Dimensions

Readers on

mendeley
210 Mendeley
citeulike
1 CiteULike
Title
NP-hardness of Euclidean sum-of-squares clustering
Published in
Machine Learning, January 2009
DOI 10.1007/s10994-009-5103-0
Authors

Daniel Aloise, Amit Deshpande, Pierre Hansen, Preyas Popat

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 210 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 1%
Germany 2 <1%
United Kingdom 2 <1%
Netherlands 1 <1%
Colombia 1 <1%
India 1 <1%
Australia 1 <1%
France 1 <1%
China 1 <1%
Other 3 1%
Unknown 194 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 56 27%
Student > Master 34 16%
Researcher 22 10%
Student > Bachelor 16 8%
Student > Doctoral Student 12 6%
Other 32 15%
Unknown 38 18%
Readers by discipline Count As %
Computer Science 80 38%
Engineering 33 16%
Mathematics 16 8%
Business, Management and Accounting 5 2%
Physics and Astronomy 5 2%
Other 23 11%
Unknown 48 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 April 2015.
All research outputs
#7,453,126
of 22,785,242 outputs
Outputs from Machine Learning
#281
of 961 outputs
Outputs of similar age
#49,553
of 170,652 outputs
Outputs of similar age from Machine Learning
#3
of 7 outputs
Altmetric has tracked 22,785,242 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 961 research outputs from this source. They receive a mean Attention Score of 4.4. This one has gotten more attention than average, scoring higher than 53% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 170,652 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.