Results 61 to 70 of about 810,691 (251)

Markov Spectral Clustering Algorithm with DCBM for Community Detection

四川大学学报. 自然科学版, 2019
Spectral clustering algorithm is one of the classical community detection algorithms. Due to the current constructed similarity graphs carry less community structure information, the actual clustering effect has a big gap with the ideal clustering effect.
REN Shu-Xia, ZHANG Shu-Bo, WU Tao
doaj  

From Top to Bottom: Manufacturing Process‐Context Aware Resolution of Energy Device Electrodes Through a 3D Diffusion Generative Model

Advanced Energy Materials, EarlyView.
The application of a generative diffusion model, enhanced with a training data augmentation pipeline retaining the manufacturing process context of electrode microstructures, leads to improved fidelity of the through‐plane tortuosity factor in the AI generated samples.
Victor Ramirez‐Camacho, Siwar Ben Hadj Ali, Maxence Desnoyers, Francisco Fernandez, Nassima Benammar, Alejandro A. Franco   +5 more
wiley   +1 more source

Multi-agent Behaviour Segmentation via Spectral Clustering [PDF]

, 2007
18.02.14 KB. OK to add accepted version to spiral, AAAI permits.We examine the application of spectral clustering for breaking up the behaviour of a multi-agent system in space and time into smaller, independent elements.
Takács, B, Demiris, Y, Butler, S
core  

The Geography of Success: A Spatial Analysis of Export Intensity in the Italian Wine Industry

Agribusiness, EarlyView.
ABSTRACT This paper investigates the paradox of how Italy's fragmented, SME‐dominated wine industry achieves global export success. Moving beyond purely firm‐centric explanations, we test whether export intensity is spatially dependent, clustering geographically in regional ecosystems.
Nicolas Depetris Chauvin, Jonas Di Vita
wiley   +1 more source

rEMM: Extensible Markov Model for Data Stream Clustering in R [PDF]

Clustering streams of continuously arriving data has become an important application of data mining in recent years and efficient algorithms have been proposed by several researchers. However, clustering alone neglects the fact that data in a data stream
Michael Hahsler, Margaret H. Dunham
core  

Vertical Price Transmission in Food Markets: New Evidence From Meta‐Analysis

Agribusiness, EarlyView.
ABSTRACT A growing body of empirical research has examined price dynamics along the food supply chain, yet findings remain heterogeneous and often conflicting. This study conducts a meta‐analysis of 140 studies, totaling 652 observations, to examine (1) the reported presence of asymmetric price transmission and (2) the reported direction of price ...
Sushan K C, Xiaoli Etienne, Andres Trujillo‐Barrera   +2 more
wiley   +1 more source

Bayesian hierarchical clustering for studying cancer gene expression data with unknown statistics [PDF]

, 2013
Clustering analysis is an important tool in studying gene expression data. The Bayesian hierarchical clustering (BHC) algorithm can automatically infer the number of clusters and uses Bayesian model selection to improve clustering quality. In this paper,
Muhammad F Bari, Bari Muhammad F., Sirinukunwattana Korsuk, Bari, Muhammad F., Muhammad F. Bari, Savage, Richard S., David R. J. Snead, David R. J. Snead (475600), Richard S Savage, Richard S. Savage, Rajpoot Nasir M., Muhammad F. Bari (417733), Snead, David R. J., David R J Snead, Richard S. Savage (341629), Nasir M. Rajpoot, Korsuk Sirinukunwattana (475599), Rajpoot, Nasir M., Sirinukunwattana, Korsuk, Korsuk Sirinukunwattana, Snead, David R.J., Snead David R. J., Nasir M. Rajpoot (185555), Nasir M Rajpoot, Savage Richard S.   +24 more
core   +2 more sources

Value of Information of Improved Traceability in Fresh Produce Markets

Agribusiness, EarlyView.
ABSTRACT Traceability plays an important role in promoting a safe food supply by fostering transparent information exchange along the food supply chain. New technological innovations have the potential to improve traceability outcomes, as greater transparency along the food supply chain can aid in pinpointing precise origins of the contamination ...
Kelsey Vourazeris, Mark R. Manfredo, Michael N. Kozicki   +2 more
wiley   +1 more source

Enhanced MCL Clustering

مجلة علوم ذي قار, 2019
  The goal of graph clustering is to partition vertices in a large graph into different clusters based on various criteria such as vertex connectivity or neighborhood similarity.
Mouiad Abid Hani
doaj   +4 more sources

An Improved Spectral Clustering Community Detection Algorithm Based on Probability Matrix

Discrete Dynamics in Nature and Society, 2020
The similarity graphs of most spectral clustering algorithms carry lots of wrong community information. In this paper, we propose a probability matrix and a novel improved spectral clustering algorithm based on the probability matrix for community ...
Shuxia Ren, Shubo Zhang, Tao Wu
doaj   +1 more source