Pacote: libt-digest-java (1:3.0-3)

[ Fonte: t-digest  ]

Data structure for quantiles and related rank statistics

The t-digest construction algorithm uses a variant of 1-dimensional k-means clustering to product a data structure that is related to the Q-digest. This t-digest data structure can be used to estimate quantiles or compute other rank statistics. The advantage of the t-digest over the Q-digest is that the t-digest can handle floating point values while the Q-digest is limited to integers. With small changes, the t-digest can handle any values from any ordered set that has something akin to a mean. The accuracy of quantile estimates produced by t-digests can be orders of magnitude more accurate than those produced by Q-digests in spite of the fact that t-digests are more compact when stored on disk.

Outros pacotes relacionados a libt-digest-java

• sug: libt-digest-java-doc

  Documentation for libt-digest-java

Download de libt-digest-java

Baixe para todas as arquiteturas disponíveis

Arquitetura	Tamanho do pacote	Tamanho instalado	Arquivos
all	48.1 kB	70.0 kB	[lista de arquivos]