Results 261 to 270 of about 503,198 (296)

Absolute linear method of summation with weighted mean

Journal of Interdisciplinary Mathematics
The study uses a summability method is utilized to characterize the set (|R, pn, δ|k, |R, qn, δ|k) for k ≥ 1 and any arbitrary positive sequences (pn). Advanced results have been derived from previously established findings. This is significant because absolute summability is crucial for assessing the Bounded Input Bounded Output (BIBO) stability of ...
Aradhana Dutt Jauhari, Alka Munjal, Santosh Kumar   +2 more
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New fuzzy C-means clustering method based on feature-weight and cluster-weight learning

Applied Soft Computing, 2019
Abstract Among fuzzy clustering methods, fuzzy c-means (FCM) is the most recognized algorithm. In this algorithm, it is assumed that all the features are of equal importance. In real applications, however, the importance of the features are different and there exist some features that are more important than the others.
Mahdi Hashemzadeh, Amin Golzari Oskouei, Nacer Farajzadeh   +2 more
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An Appropriate Weighting Function for the Nonlocal Means Denosing Method

2011 International Conference on Intelligent Computation and Bio-Medical Instrumentation, 2011
An improvement to the efficiency of the nonlocal means (NLM) denoising method is proposed in this paper. The NLM denoising method replaces each pixel by the weighted average of pixels with the surrounding neighborhoods. We employ a cosine weighting function instead of the original exponential function used in the weight calculation.
Musab Elkheir Salih, Xuming Zhang, Mingyue Ding   +2 more
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Weighted Kernel Fuzzy C-Means Method for Gene Expression Analysis

2012 Spring Congress on Engineering and Technology, 2012
Many clustering techniques have been proposed for the analysis of gene expression data. However, the optimal method for a given experimental dataset is still not resolved. Fuzzy c-means and kernel fuzzy c-means algorithm have been widely applied to gene expression data, but they give the equal weight to the genes and noises, which lead to results that ...
Yu Wang, Maia Angelova
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Potential function partial weighted fuzzy C-mean (PWFCM) clustering method

ICSP '98. 1998 Fourth International Conference on Signal Processing (Cat. No.98TH8344), 2002
A new clustering method-the potential function partial weighted fuzzy C-mean (PWFCM) clustering method is presented. In this method samples' typicality is decided by a potential distribution function in sample feature space. According to a sample set, the problem of how to adaptively determine the weighted matrix W is also discussed.
null Pei Ji-hong, null Fan Jiu-lun, null Xie Wei-xin   +2 more
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The Nörlund Method and The Weighted Mean Method for Double Sequences

2015
In the current chapter, we introduce the Norlund method and the Weighted Mean method for double sequences and establish many of their properties.
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Magnetic resonance linear accelerator technology and adaptive radiation therapy: An overview for clinicians

Ca-A Cancer Journal for Clinicians, 2022
William A Hal, X Allen Li, Daniel A Low
exaly  

A TAUBERIAN THEOREM FOR THE WEIGHTED MEAN METHOD OF SUMMABILITY

2019
WOS ...
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Weighting Method for Feature Selection in K-Means

2007
Joshua Zhexue Huang, Jun Xu, Michael Ng, Yunming Ye   +3 more
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Mean Weighted Residual Methods

2020
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