Sentences with phrase «cluster analysis»

Cluster analysis is a method used to group things or data points together based on similarities. It helps identify patterns or relationships among a set of objects or information by dividing them into smaller, more meaningful groups or clusters. Full definition
The within - team patterns of leadership behavior were examined using cluster analysis.
A traditional cluster analysis approach would have required us to force these individuals into a single cluster, thereby capturing only a portion of their marital experience.
To obtain such parenting types, one often uses cluster analysis.
K - means cluster analysis of the factor scores and all the variables not loading into a factor was used to determine phenotypic subgroups.
Microarray hybridization patterns were interpreted using hierarchical cluster analysis as previously described [65], [66].
Taxa were further assigned to a number of severity categories that were defined based on clustering analysis for BRI (Mathematica, k - clustering algorithm) and the detailed description is provided in Text S1 section 1.4.
It uses k - means clustering analysis based on playing habits and tags to divide games into groups.
Cluster analysis produced 5 «Early» (6 — 42 months) and «Later» (6 — 69 months) symptom trajectories («clusters»).
Although many common genes were expressed in the three tissues, cluster analysis based on transcript levels revealed distinct gene expression profiles of the d - 18 EET (Fig. 2C and SI Appendix, Fig.
A New Approach to Investigate Students» Behavior by Using Cluster Analysis as an Unsupervised Methodology in the Field of Education
Complexities in complex posttraumatic stress disorder in inpatient women: Evidence from cluster analysis of MCMI - III personality disorder scales
Results: Unlike previous studies, cluster analysis revealed an at - risk «dietary - depressive» (R +) subtype (18.7 %, 100 / 534) and a not at - risk (R --RRB- subtype, distinguished by few depressive symptoms and little dietary restraint (81.3 %, 434 / 534), but no «dietary» subtype.
To overcome this problem, research groups at Stanford University and the Massachusetts Institute of Technology began to use a statistical method called cluster analysis, Zhao said.
In addition to such clustering analysis, inference of developmental trajectories are popular, as well as quantifying the degree of variation between conditions.
Cluster analysis identified four distinct groups: «not involved,» «rarely victim and bully,» «typically victim,» and «retaliator.»
Data was analyzed using psychometrical scale analysis to identify validity and reliability, two - step cluster analysis in order to identify typological clusters of lovers, and factor analysis to understand the composition of dimensional structures.
The authors next took 997 tumors in the discovery set, integrated copy number and gene expression data, and performed clustering analyses to identify subgroups of tumors with distinct features and clinical outcomes.
For example, cluster analysis separated the Newfoundlands from the other giant breeds and distinguished Labrador Retrievers from English Springer Spaniels and Beagles in the medium - and large - sized categories.
Rather than rely on anecdotal data, BCG did a thorough zip code cluster analysis and discovered something interesting: unlike what they'd assumed, their senior partners weren't typically on the Upper East Side (a Manhattan neighborhood quite far from the Hudson Yards site) and far out in the suburbs.
Popularized by Harvard business guru Michael Porter, cluster analysis looks maddeningly vague to most serious economists.
Grieger JA., Scott J, Cobiac, L. Cluster analysis and food group consumption in a national sample of Australian girls.
Virochip microarrays were analyzed with Z - score analysis [18], hierarchical cluster analysis [50], and E-Predict, an automated computational algorithm for viral species prediction from microarrays [51].
Unlike clustering analysis, statistical modeling requires one to postulate a hypothesis, Zhao said.
Cluster analysis also separated d - 34 chorion from d - 34 allantois samples (P < 0.05), with chorion and allantois being more similar to each other than to d - 18 ETT (Fig. 2C; further analysis and interpretation is provided in SI Appendix).
They first suppress redundancy among these ETFs via cluster analysis, iteratively grouping ETFs by return series similarity (up to 100 clusters) to find the best set of clusters and selecting the ETF most representative of each cluster.
Because cluster analysis uses a combination of parameters to determine dissimilarity between groups, it is not possible to determine from the present data why these similar - sized breeds were separated.
Further, we excluded similar question items based on hierarchical and non-hierarchical cluster analyses.
The dendrogram obtained from cluster analysis (Fig. 2) shows that the growth characteristics as reflected by the logistics model parameters identify distinct clusters.
Cluster analysis with 51 items assessing many types of subtle and overt psychological abuse identified six groups.
To better visualize changes in gene expression programs during differentiation, we performed k - means clustering analysis, followed by hierarchical clustering, to group genes by their timing of induction or suppression during the normal ES cell differentiation process.
Cluster analyses revealed the 3 subtypes now codified in DSM - IV.14
Proteins (n = 59) that were quantified and determined to be significantly different in abundance by ANOVA (p ≤ 0.01) when comparing CFS from nPTLS subject samples and allow for separation of these two syndromes when performing unsupervised hierarchical cluster analysis.
Factor and Cluster Analysis as a Tool for Patient Segmentation Applied to Hospital Marketing in Jordan
High, moderate, and low point ranges were determined by a statistical method called cluster analysis, which, unlike Figure 1, finds the point at which there are meaningful differences in variations between groups.
In the present multi-informant longitudinal study, we used two - step cluster analysis to empirically derive family climates based on four family dimensions (i.e., cohesion, conflict, organization, and control) at baseline and we related these climates to longitudinal assessments of adolescent psychosocial functioning.
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