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Weighted Mean of a Pair of Graphs

Computing (Vienna/New York), 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Horst Bunke   +2 more
exaly   +3 more sources

Bonferroni Mean With Weighted Interaction

IEEE Transactions on Fuzzy Systems, 2018
Bonferroni mean aggregates the interaction between all pairs of inputs from some $n$ -dimensional input vector. Therefore, it is able to capture the dependency structure between the inputs. Weighted version of the Bonferroni mean then assumes that each input has a possibly different weight.
Andrea Mesiarová-Zemánková   +1 more
exaly   +2 more sources

Weighted mean of a pair of clusterings

Pattern Analysis and Applications, 2012
In this paper, we introduce the weighted mean of a pair of clusterings. Given two clusterings C 1 and C 2, the weighted mean of C 1 and C 2 is a clustering C w that has distances d(C 1, C w ) and d(C w , C 2) to C 1 and C 2, respectively, such that d(C 1, C w ) + d(C w , C 2) = d(C 1, C 2) holds for some clustering distance function d.
Lucas Franek   +2 more
exaly   +2 more sources

Weighted ordinal means

Information Sciences, 2007
The paper contributes to the theory of aggregation operators, namely to the ordinal means investigation. It aims at modifying a former model known in the literature and introducing so-called ordinal means. The modification leads to the consequence that each obtained aggregation function is an ordinal mean.
Anna Kolesárová   +2 more
openaire   +2 more sources

On Weighted Randomly Trimmed Means

Journal of Systems Science and Complexity, 2007
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Ting Wang 0002, Yong Li, Hengjian Cui
openaire   +1 more source

A Characterization of Weighted Arithmetic Means

SIAM Journal on Algebraic Discrete Methods, 1980
We prove, among other things, that the set of weighted arithmetic means is identical with the set of functions $f:R^n \to R$ satisfying (i) $\min \{ x_j \}\leqq f ( x_1 ,x_2 , \cdots ,x_n )\leqq \max \{ x_j \}$ and (ii) for $k = 2,3:\sum _{i = 1}^k x_{ij} = s( j = 1,2, \cdots ,n ) \Rightarrow \sum _{i = 1}^k f( x_{i1} ,x_{i2} , \cdots ,x_{in} ) = s$.
J. Aczél, C. Wagner
openaire   +1 more source

On weighted mean distance [PDF]

open access: possibleAustralas. J Comb., 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Selma Djelloul, Mekkia Kouider
openaire   +1 more source

On Weighted Geometric Means

Canadian Mathematical Bulletin, 1989
AbstractThe aim of this paper is two-fold: First we prove the Radotype inequality Here denote the weighted geometric means of with where the pi are positive weights. Thereafter we investigate under which conditions the sequence is convergent as n → ∞
openaire   +1 more source

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