YuleDissimilarity
YuleDissimilarity[u,v]
gives the Yule dissimilarity between Boolean vectors u and v.
Details
- YuleDissimilarity works for both True, False vectors and 0, 1 vectors.
- YuleDissimilarity[u,v] is equivalent to
, where 
is the number of corresponding pairs of elements in 
and 
respectively equal to 
and 
.
Examples
open all close allBasic Examples (2)
Scope (2)
Compute dissimilarity between any 0, 1 vectors of equal length:
YuleDissimilarity[RandomInteger[1, 100], RandomInteger[1, 100]]Compute dissimilarity between any True, False vectors of equal length:
YuleDissimilarity[RandomChoice[{True, False}, 1000], RandomChoice[{True, False}, 1000]]Applications (2)
Cluster 0, 1 data using Yule dissimilarity:
FindClusters[{{0, 1}, {1, 1}, {0, 0}, {1, 0}}, DistanceFunction -> YuleDissimilarity]Cluster True, False data using Yule dissimilarity:
FindClusters[{{False, True}, {True, True}, {False, False}, {True, False}}, DistanceFunction -> YuleDissimilarity]Text
Wolfram Research (2007), YuleDissimilarity, Wolfram Language function, https://reference.wolfram.com/language/ref/YuleDissimilarity.html.
CMS
Wolfram Language. 2007. "YuleDissimilarity." Wolfram Language & System Documentation Center. Wolfram Research. https://reference.wolfram.com/language/ref/YuleDissimilarity.html.
APA
Wolfram Language. (2007). YuleDissimilarity. Wolfram Language & System Documentation Center. Retrieved from https://reference.wolfram.com/language/ref/YuleDissimilarity.html