Examples of 'cluster analysis' in a sentence

Meaning of "cluster analysis"

cluster analysis - this phrase refers to a statistical technique used to classify or group similar objects or data points based on their attributes or characteristics. It is commonly employed in fields such as data science, market research, and pattern recognition to identify patterns or structures within a dataset
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  • The classification of objects into different groups, or more precisely, the partitioning of a data set into subsets (clusters), so that the data in each subset (ideally) share some common trait - often proximity according to some defined distance measure.

How to use "cluster analysis" in a sentence

Basic
Advanced
cluster analysis
Cluster analysis to extract the best value.
The techniques also apply to cluster analysis.
Understanding cluster analysis and segmentation trees.
Five groups were identified using cluster analysis.
Cluster analysis for countries in transition first draft.
Six types were identified using cluster analysis.
Cluster analysis aggregates objects based on their characteristics.
Supporting businesses and developing cluster analysis.
Hierarchical cluster analysis was performed in the present study.
Results were visualized by simple hierarchical cluster analysis.
Cluster analysis and regression program.
He was one of the first to write about cluster analysis.
A cluster analysis can be used to segment a population of consumers.
Stata includes hierarchical cluster analysis.
The cluster analysis showed seven similar groups.

See also

Selection of perspective versions and application of cluster analysis.
Complex cluster analysis to find differentially expressed genes.
A preliminary evaluation of their use in chemotaxonomy by cluster analysis.
Cluster analysis only works if you make sense of it.
This results are confirmed by a cluster analysis.
A cluster analysis of the metrics identified two groups of trips.
Produce signatures for class and cluster analysis.
Recent cluster analysis suggested opportunities in the following fields.
Three consumer segments were distinguished by the cluster analysis.
The cluster analysis of the isolates was based on morphological characteristics.
It is widely used in the field of cluster analysis and classification.
Cluster analysis was employed to classify the phrases by predictability level.
Periodic and cluster analysis.
Cluster analysis looking backwards.
The purpose of cluster analysis.
Cluster analysis does not require using previously labeled data.
The map of land classes was obtained by means of a cluster analysis.
Cluster analysis identified eight homogeneous groups of weather stations.
This is a form of cluster analysis.
Cluster analysis does precisely this.
Personality profile groups were identified through cluster analysis.
Hierarchical cluster analysis identified two main groups of goats.
Ordination complements cluster analysis.
Cluster analysis may then be performed using a suitable algorithm.
A statistical technique commonly used in determining a profile is cluster analysis.
Cluster analysis identified the three dietary patterns described next.
We therefore implemented a cluster analysis.
Hierarchical cluster analysis was made and principal component analysis pca.
Conclusions of cluster analysis.
Cluster analysis is possible.
Mahalanobis distance is widely used in cluster analysis and classification techniques.
Cluster analysis considers a multidimensional space of state consisting of normalized data.
An answer by cluster analysis.
For this was conducted descriptive and multivariate analysis cluster analysis.
We use this concept under cluster analysis and predictive analytics.

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Examples of using Cluster
This is a cluster of pigeons fighting over breadcrumbs
We need to focus on finding the cluster bombs
Verifying cluster hardware and software configurations
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