scholarly journals Usefulness of Factor and Cluster Analysis in Grouping Census Tracts

1972 ◽  
Vol 87 (2) ◽  
pp. 154
Author(s):  
Irene Lehr ◽  
Harley B. Messinger ◽  
Edward S. Rogers
Keyword(s):  
Cluster Analysis ◽  
Census Tracts ◽  
Factor And Cluster Analysis ◽  
And Cluster Analysis

Subphenotypes of Mild-to-Moderate COPD by Factor and Cluster Analysis of Pulmonary Function, CT Imaging and Breathomics in a Population-Based Survey

2013 ◽  
Vol 10 (3) ◽  
pp. 277-285 ◽  
Author(s):  
Niki Fens ◽  
Annelot G.J. van Rossum ◽  
Pieter Zanen ◽  
Bram van Ginneken ◽  
Rob J. van Klaveren ◽  
...  
Keyword(s):  
Cluster Analysis ◽  
Pulmonary Function ◽  
Population Based ◽  
Ct Imaging ◽  
Factor And Cluster Analysis ◽  
And Cluster Analysis ◽  
Population Based Survey

scholarly journals Factor and cluster analysis of the CVLT-C

1998 ◽  
Vol 13 (1) ◽  
pp. 8-8
Author(s):  
J. Donders
Keyword(s):  
Cluster Analysis ◽  
Factor And Cluster Analysis ◽  
And Cluster Analysis

scholarly journals Pathways and Patterns of Cell Loss in Verified Alzheimer’s Disease: A Factor and Cluster Analysis of Clinico-Pathological Subgroups

1994 ◽  
Vol 7 (3-4) ◽  
pp. 175-180 ◽  
Author(s):  
H. Förstl ◽  
R. Levy ◽  
A. Burns ◽  
P. Luthert ◽  
N. Cairns
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Cluster Analysis ◽  
Cell Loss ◽  
Cell Numbers ◽  
Cell Counts ◽  
Patient Groups ◽  
Components Analysis ◽  
Factor And Cluster Analysis ◽  
And Cluster Analysis

Thirty-seven patients with neuropathologically verified Alzheimer's disease (AD) have been studied prospectively. A principal components analysis of neuron numbers in cortical and subcortical areas revealed two variables: Variable I with high loadings for the hippocampo-parahippocampo-parietal neuron counts and Variable II with high loadings for coeruleo-frontal cell numbers. Both may reflect functional neuroanatomical connections which may act as pathways of neurodegeneration in AD. A cluster analysis based on these neuron numbers yielded three groups of patients: Cluster A with low hippocampo-parahippocampo-parietal cell counts, Cluster B with well-preserved neuron numbers, and Cluster C with low coeruleo-frontal neuron numbers. Differences in clinical features between these patient groups indicated the potential clinical relevance of these clusters.

scholarly journals CONSTEL: A FORTRAN IV program for factor and cluster analysis of mixed data

1974 ◽  
Vol 6 (5) ◽  
pp. 506-506 ◽  
Author(s):  
J. A. Meyer
Keyword(s):  
Cluster Analysis ◽  
Mixed Data ◽  
Factor And Cluster Analysis ◽  
And Cluster Analysis
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