Results 11 to 20 of about 402,705 (256)

Self-adaptive attribute weighted neutrosophic c-means clustering for biomedical applications

Alexandria Engineering Journal
The applications of clustering in biomedical is pervasive and ubiquitous. A typical example is gene expression data analysis, where clustering is emerging as a powerful solution for uncovering cancer-related insights.
Zhe Liu, Haoye Qiu, Sukumar Letchmunan
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Weighted inequalities for geometric means [PDF]

Proceedings of the American Mathematical Society, 1994
A characterization of weights u , v u,v is given for which the geometric mean operator T f ( x ) = exp ⁡ ( 1 x ∫ 0 x ln f
Opic, B., Gurka, P.
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Differences of Weighted Mixed Symmetric Means and Related Results

Journal of Inequalities and Applications, 2010
Some improvements of classical Jensen's inequality are used to define the weighted mixed symmetric means. Exponential convexity and mean value theorems are proved for the differences of these improved inequalities. Related Cauchy means are also defined,
Perić I, Khan KhuramAli, Pečarić J   +2 more
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Abel-type weighted means transformations into ℓ

International Journal of Mathematics and Mathematical Sciences, 2000
Let qk=(k+α    k) for α>−1 and Qn=∑k=0nqk. Suppose Aq={ank}, where ank=qk/Qn for 0≤k≤n and 0 otherwise. Aq is called the Abel-type weighted mean matrix. The purpose of this paper is to study these transformations as mappings into ℓ.
Mulatu Lemma, George Tessema
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Approximation by weighted means of Walsh-Fourier series

International Journal of Mathematics and Mathematical Sciences, 1996
We study the rate of approximation to functions in Lp and, in particular, in Lip(α,p) by weighted means of their Walsh-Fourier series, where α>0 and 1≤p≤∞.
F. Móricz, B. E. Rhoades
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Generalizing the Alpha-Divergences and the Oriented Kullback–Leibler Divergences with Quasi-Arithmetic Means

Algorithms, 2022
The family of α-divergences including the oriented forward and reverse Kullback–Leibler divergences is often used in signal processing, pattern recognition, and machine learning, among others.
Frank Nielsen
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APPROXIMATION BY LINEAR MEANS OF FOURIER SERIES AND REALIZATION FUNCTIONALS IN WEIGHTED ORLICZ SPACES

Проблемы анализа, 2022
Using one-sided Steklov means, we introduce a new modulus of smoothness in weighted Orlicz spaces and state its equivalence with a special 𝐾-functional. We prove Stechkin-Nikol’skii-type inequality for trigonometric polynomials and direct estimates for
S. S. Volosivets
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Weighted inductive means

Linear Algebra and its Applications, 2014
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yongdo Lim, Miklós Pálfia
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On Absolute Weighted Mean Summability

Rocky Mountain Journal of Mathematics, 1993
Using functional analytic techniques, the authors obtain the necessary and sufficient conditions in order that the series \(\sum a_ n\) should be summable \(| R, q_ n |_ k\), \(k \geq 1\), whenever it is summable \(| R, p_ n |\). The results contained in this paper extend the known results of \textit{L. S. Bosanquet} [published in the review in M.
Orhan, C., Sarigöl, M.A.
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The LINEX Weighted k-Means Clustering

Journal of Statistical Theory and Applications (JSTA)
LINEX weighted k-means is a version of weighted k-means clustering, which computes the weights of features in each cluster automatically. Determining which entity is belonged to which cluster depends on the cluster centers.
Narges Ahmadzadehgoli, Adel Mohammadpour, Mohammad Hasan Behzadi   +2 more
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