- In mathematics,
unimodality means possessing a
unique mode. More generally,
unimodality means there is only a
single highest value,
somehow defined, of...
- (perfect
unimodality). It is
defined as A = U ( 1 − S − 1 K − 1 ) {\displaystyle A=U\left(1-{\frac {S-1}{K-1}}\right)}
where U is the
unimodality of the...
-
Unimodal thresholding is an
algorithm for
automatic image threshold selection in
image processing. Most
threshold selection algorithms ****ume that the...
-
continuous distribution is
called multimodal (as
opposed to
unimodal). In
symmetric unimodal distributions, such as the
normal distribution, the mean (if...
- {\displaystyle n} , { n k } {\displaystyle \left\{{n \atop k}\right\}} is
unimodal, that is, the
sequence increases and then decreases. The
maximum is attained...
- quasi-concavity, if S ⊂ R {\displaystyle S\subset \mathbb {R} } , is
unimodality, in
which there is a
locally maximal value.
Quasiconvex functions have...
- well-defined mean, such as the
Cauchy distribution: The
median of a
symmetric unimodal distribution coincides with the mode. The
median of a
symmetric distribution...
- Hussain, Amir (September 2017). "A
review of
affective computing: From
unimodal analysis to
multimodal fusion".
Information Fusion. 37: 98–125. doi:10...
-
bound nearly all (i.e. 95%) of the
values of a
process output.
Without unimodality Chebyshev's
inequality would give a
looser bound of 1/9 = 0.11111......
-
Gastwirth estimated the
asymptotic variance of n−1/2D. If the
distribution is
unimodal and
symmetric about 0, the
asymptotic variance lies
between 1/4 and 1....
