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Clustering Analysis
This chapter is devoted to presentation of results, which were obtained for the data considered with the use of clustering algorithms. Clustering...
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Optimizing Gene Expression Analysis Using Clustering Algorithms
Gene expression analysis plays a crucial role in understanding biological processes and diseases. However, the high-dimensional nature of gene...
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Customer Segmentation Analysis Using Clustering Algorithms
Customer segmentation has been deployed as a prudent marketing strategy by companies to ensure that their investments are less risky and more...
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Guided Filter-Based Fuzzy Clustering for General Data Analysis
In recent years, benefiting from the abilities in implementation of the smooth operation on noises and preservation of the original gradient...
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Virtual clustering analysis for long fiber reinforced composites
Virtual clustering analysis (VCA) is an effective data-driven numerical homogenization method. In its original version (Tang et al. in Comput Mech...
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Damage identification of steel-ECC composite deck incorporating piezoelectric impedance methodology and hierarchical clustering analysis
As a highly ductile concrete, engineered cementitious composites (ECC) can be used as pavement to form a lightweight composite bridge deck system....
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Optimizing Patient Stratification in Healthcare: A Comparative Analysis of Clustering Algorithms for EHR Data
Advanced data analytics are increasingly being employed in healthcare research to improve patient classification and personalize medicinal therapies....
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Analysis of Wind Turbine Operation Behavior Based on Clustering Algorithm
This research offers an innovative approach to the analysis of wind turbine operation behaviors through the use of clustering algorithms. Fundamental...
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Virtual clustering analysis for phase field model of quasi-static brittle fracture
In this paper, we develop a Virtual Clustering Analysis method for a phase field model of brittle fracture. In addition to the strain/stress field,...
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Clustering analysis for elastodynamic homogenization
We propose a reduced-order method for the elastodynamic homogenization of periodic composites. With the help of Bloch-wave expansion and Green’s...
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Clustering
This chapter provides a comprehensive overview of traditional clustering algorithms, which have been fundamental in the field of unsupervised...
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Transformation Field Analysis and Clustering Discretization Method in Peridynamic Micromechanics of Composites
In contrast to the classical local theories, the peridynamic equation of motion introduced by Silling (J Mech Phys Solids 48:175–209,
2000 ) is free...
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Study on Clustering Analysis Model of Traffic Congestion State
Considering the complexity of spatial and temporal changes of traffic data and the huge nature of traffic data, in order to find a sensitive analysis...
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Analysis of clustering algorithms for credit risk evaluation using multiple correspondence analysis
This research concentrates on segmenting credit card clients of Taiwan into optimal groups. Unsupervised Learning plays a significant role in...
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Clustering-enhanced Lattice discrete particle modeling for quasi-brittle fracture and fragmentation analysis
This study focuses on predicting and quantifying fragmentation phenomena under high impulsive dynamic loading, such as blast, impact, and penetration...
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Data analysis framework of tourism enterprise human resource management system based on MySQL and fuzzy clustering
The essential task of enterprise human resource management is complicated, involving many departments, so the work is difficult. By applying data...
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Enhancing automatic inspection and characterization of carbon fiber composites through hyperspectral diffuse reflection analysis and k-means clustering
Numerous industries utilize carbon fiber composites (CFC) for their exceptional strength-to-weight ratio and stiffness. However, inherent...
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Bibliometric Analysis: A Trends and Advancement in Clustering Techniques on VANET
In recent years, Traffic management and road safety has become a major concern for all countries around the globe. Many techniques and applications...
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Clustering analysis through artificial algae algorithm
Clustering analysis is widely used in many areas such as document grou**, image recognition, web search, business intelligence, bio information,...
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Research on Scenario-Based Clustering Model and Analysis Method for Airworthiness Provisions
Airworthiness provisions are the requirements that must be followed in the development of civil aircraft. In view of the abstract characteristics of...