Search
Search Results
-
Cluster Analysis
This chapter covers cluster analysis, a set of methods used for identifying groups of similar observations based on proximity measures. The chapter... -
Cluster Analysis
Cluster analysis is a procedure for grouping cases (objects of investigation) in a data set. For this purpose, the first step is to determine the... -
Cluster Analysis
The chapter presents cluster analysis. Two published reports of clustering usage were reviewed involving barriers to mental health and nursing home... -
Gray Cluster Analysis
Clustering is the process of dividing a collection of physical or abstract objects into classes composed of similar objects. In other words,... -
Cluster Analysis
Clustering is an unsupervised learning technique to categorize data in the absence of defined categories in the sample data set. In this chapter, we... -
Electric vehicle adoption and sustainability: Insights from the bibliometric analysis, cluster analysis, and morphology analysis
Electric vehicles (EVs) are a new emerging technological advancement that has apprehended the interest of researchers as well as regulators,...
-
Cluster analysis in fibromyalgia: a systematic review
BackgroundThe multifaceted nature of Fibromyalgia syndrome (FM) symptoms has been explored through clusters analysis.
ObjectiveTo synthesize the...
-
-
Analysis of the single reference coupled cluster method for electronic structure calculations: the full-coupled cluster equations
The central problem in electronic structure theory is the computation of the eigenvalues of the electronic Hamiltonian—a semi-unbounded, self-adjoint...
-
Enhancing cluster analysis via topological manifold learning
We discuss topological aspects of cluster analysis and show that inferring the topological structure of a dataset before clustering it can...
-
Spectral Analysis of N-Body Schrödinger Operators at Two-Cluster Thresholds
This book provides a systematic study of spectral and scattering theory for many-body Schrödinger operators at two-cluster thresholds. While the...
-
Clinical phenotypes of comorbidities in end-stage knee osteoarthritis: a cluster analysis
ObjectivesComorbidities, as components of these heterogeneous features, often coexist with knee osteoarthritis, and are particularly prevalent in...
-
A new common weights DEA model based on cluster analysis
The data envelopment analysis (DEA) is a data-driven tool for performance evaluation. Standard DEA assigns the most favorable weights to...
-
Using cluster analysis for grouping partial autosomal haplotypes derived from single sperm STR profiling
Background and objectiveThe use of single cell STR profiling for mixture deconvolution is increasingly being discussed in forensics; however, studies...
-
Subtyping irritable bowel syndrome using cluster analysis: a systematic review
BackgroundIrritable bowel syndrome (IBS) is a common chronic functional gastrointestinal disorder associated with a wide range of clinical symptoms....
-
A Cluster Analysis Towards Exploring Sustainable Economic Growth
The EU-27 nations and the United Kingdom are classified in the present chapter based on their ability to achieve sustainable economic growth using a... -
Assessing Human Development in Nepal through Descriptive and Cluster Analysis: Progress and Disparities
Human Development Reports initiated by Amartya Sen and Mahbub ul Haq in 1990 have been regularly published by United Nations Development Programme...
-
Cluster analysis based on fasting and postprandial plasma glucose and insulin concentrations
ObjectivePlasma glucose and insulin concentrations are clinical markers used to diagnose metabolic diseases, particularly prediabetes and diabetes....
-
The epidemiology of primary FSGS including cluster analysis over a 20-year period
IntroductionFocal segmental glomerulosclerosis (FSGS) is one of the leading causes of nephrotic syndrome in adults. This epidemiological study...
-
EOR Displacement Characteristics from Cluster Analysis and Fractional Pore Occupation
The in situ saponification of crude oil lowers the interfacial tensions of oil–water systems in chemical-enhanced oil recovery (cEOR). When the...