
doi: 10.1038/211329a0
pmid: 5965563
A RECENT paper by Williams and Lance1 considers the place of probability in classification, and regards the concept as inapplicable where the population classified is finite. In limiting themselves to probabilities associated with sampling, however, they seem to ignore an important part which probabilistic considerations can and should play in classification.
Classification
Classification
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 12 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
