Results 131 to 140 of about 66,224 (345)

Implementation of Fuzzy C-Means and Possibilistic C-Means Clustering Algorithms, Cluster Tendency Analysis and Cluster Validation

, 2018
Md. Abu Bakr Siddique, Rezoana Bente Arif, Mohammad Mahmudur Rahman Khan, Zahidun Ashrafi   +3 more
openalex   +2 more sources

Magnetic Resonance Features of Acquired Immune Deficiency Syndrome Involving Central Nervous System Diseases by Intelligent Fuzzy C-Means Clustering (FCM) Algorithm. [PDF]

Comput Math Methods Med, 2022
Huang G, Chen J, Ge Y, Zhu X, Ding M, Chen X, Qu C.   +6 more
europepmc   +1 more source

Climate Change Mitigation in the Dairy Sector: Uncovering Heterogeneity Through Eco‐Efficiency Clubs

Agribusiness, EarlyView.
ABSTRACT Combining climate change goals with economic targets is crucial for the dairy sector, which is a significant contributor to agricultural greenhouse gas (GHG) emissions worldwide. In this paper, we assess economic and climate change implications of dairy production with panel data of Irish dairy farms from 2013 to 2021.
Doris Läpple, Christian Stetter, Cathal Buckley   +2 more
wiley   +1 more source

Segmentasi Citra Berbasis Clustering Menggunakan Algoritma Fuzzy C-Means

Majalah Ilmiah Teknologi Elektro, 2015
Clustering based image segmentation in this study using Fuzzy C means algorithm with Xie Beni Index as an objective function. Preprocessing applied in this model using Statistical Region merging.
I Made Budi Adnyana, IKetut Gede Darmaputra, I Putu Agung Bayupati   +2 more
doaj  

Brain Tumor Segmentation Using K-Means and Fuzzy C-Means Clustering and Its Area Calculation and Stage Using SVM Algorithm

, 2018
Divyata D. Pingale, S. R. Todmal
openalex   +1 more source

Abnormal State Detection of OLTC Based on Improved Fuzzy C-means Clustering [PDF]

, 2023
Hongwei Li, Lilong Dou, Shuaibing Li, Yongqiang Kang, Xingzu Yang, Haiying Dong   +5 more
openalex   +1 more source

Mapping the Innovation DNA of Agribusiness Firms: A Multi‐Method Analysis of Strategic Capabilities and Performance

Agribusiness, EarlyView.
ABSTRACT Innovation is essential for competitiveness in agribusiness facing dynamic environments. This study examines how market orientation, marketing, relational, and social capabilities influence innovation performance. Using data from 751 Spanish firms and a multi‐method approach that integrates Structural Equation Modeling (PLS‐SEM), Necessary ...
Beatriz Corchuelo Martínez‐Azúa, Alvaro Dias   +1 more
wiley   +1 more source

Improved Fuzzy C-Means Clustering Algorithm-Based Dynamic Contrast-Enhanced Magnetic Resonance Imaging Features in the Diagnosis of Invasive Breast Carcinoma before and after Menopause. [PDF]

Comput Math Methods Med, 2022
Mei L, Wang K, Gu Y.
europepmc   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Fuzzy Image Segmentation using Suppressed Fuzzy C-Means Clustering [PDF]

, 2004
Clustering algorithms are highly dependent on the features used and the type of the objects in a particular image. By considering object similar surface variations (SSV) as well as the arbitrariness of the fuzzy c-means (FCM) algorithm for pixellocation, a fuzzy image segmentation considering object surface similarity (FSOS) algorithm was developed ...
Ali, Ameer, Karmakar, Gour C., Dooley, Laurence S.   +2 more
openaire