Taxonomy vs Compression - What's the difference?
taxonomy | compression |
The science or the technique used to make a classification.
A classification; especially , a classification in a hierarchical system.
(taxonomy, uncountable) The science of finding, describing, classifying and naming organisms.
an increase in density; the act of compressing, or the state of being compressed; compaction
the cycle of an internal combustion engine during which the fuel and air mixture is compressed
(computing) the process by which data is compressed
* {{quote-web
, year = 2011
, author = Marcelo A. Montemurro & Damián H. Zanette
, title = Universal Entropy of Word Ordering Across Linguistic Families
, site = PLoS ONE
, url = http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0019875
, accessdate = 2012-09-26}}
(music) the electronic process by which any sound's gain is automatically controlled
(astronomy) the deviation of a heavenly body from a spherical form
As nouns the difference between taxonomy and compression
is that taxonomy is the science or the technique used to make a classification while compression is an increase in density; the act of compressing, or the state of being compressed; compaction.taxonomy
English
(wikipedia taxonomy)Noun
(taxonomies)Synonyms
* alpha taxonomyDerived terms
* folk taxonomy * scientific taxonomySee also
* classification * rank * taxon * domain * kingdom * subkingdom * superphylum * phylum * subphylum * class * subclass * infraclass * superorder * order * suborder * infraorder * parvorder * superfamily * family * subfamily * genus * species * subspecies * superregnum * regnum * subregnum * superphylum * phylum * subphylum * classis * subclassis * infraclassis * superordo * ordo * subordo * infraordo * taxon * superfamilia * familia * subfamilia * ontologycompression
English
Noun
(en noun)- Due to the presence of long-range correlations in language [21], [22] it is not possible to compute accurate measures of the entropy by estimating block probabilities directly. More efficient nonparametric methods that work even in the presence of long-range correlations are based on the property that the entropy of a sequence is a lower bound to any lossless compressed version of it [15]. Thus, in principle, it is possible to estimate the entropy of a sequence by finding its length after being compressed by an optimal algorithm. In our analysis, we used an efficient entropy estimator derived from the Lempel-Ziv compression algorithm that converges to the entropy [19], [23], [24], and shows a robust performance when applied to correlated sequences [25] (see Materials and Methods).
