strongly clustered

USAGE SUMMARY

The phrase "strongly clustered" is correct and usable in written English.
It can be used to describe a situation where items, data points, or entities are grouped closely together in a significant manner. Example: "The data points in the study were strongly clustered around the mean, indicating a high level of consistency among the results."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

51 human-written examples

According to the analysis of spatial patterns, the aspens were strongly clustered in all three stands.

Forest Ecosystems

The literature is found to be strongly clustered in a few countries, with less than 5 identified relevant articles in 36 of the 49 countries.

Renewable and Sustainable Energy Reviews

Within the metallogenic zones in both regions, individual gold occurrences are strongly clustered into ore fields, but the distribution of ore fields is random.

Ore Geology Reviews

The fact that humans have adapted to almost all of Earth's environments, yet remain strongly clustered within each of these environments influences both the nature of anthropogenic impact on Earth's landscapes and the challenges of mapping it.

Anthropocene

Compared to the original Stokesian Dynamics method the complexity can be reduced from O N2) to linear complexity for dilute suspensions of strongly clustered particles, N being the number of particles.

Computer Physics Communications

These identical genotypes were strongly clustered in time, consistent with epidemic transmission of clones and subsequent breakdown of allelic associations, suggesting high rates of inbreeding and low effective recombination rates in this country.

International Journal for Parasitology

Human-verified similar examples from authoritative sources

Similar Expressions

9 human-written examples

The magnitude of the latter effect is shaped by complex interactions between individual popularity, happiness, and the fact that users strongly cluster by similar level of happiness.

EPJ Data Science

These mechanisms differ considerably; the Random susceptibility is not clustered in households by an explicit mechanism, while the Household mechanism strongly clusters susceptibility.

Plosone

In the phylogenetic analysis (Figure 2), the amino acid sequence of goldfish NUCB2A was clustered with the NUCB2A sequences of other teleostean fishes, while most strongly clustering with zebrafish NUCB2A.

Plosone

Hierarchical clustering of the remaining microarray data sets showed that experiments strongly cluster by tissue type.

BMC Genomics

Hart et al. [ 43] indicated that essential proteins strongly cluster together.

BMC Systems Biology

Expert writing Tips

Best practice

When describing spatial or data distributions, use "strongly clustered" to emphasize the non-random, concentrated nature of the grouping. Be precise with additional details about the cause, and impact of this clustering, enriching its descriptive power.

Common error

Avoid using "strongly clustered" as a generic intensifier. Always ensure the context provides measurable or observable evidence of the degree to which something is clustered. If the clustering is weak or subjective, choose a more appropriate descriptive term.

Linguistic Context

The phrase "strongly clustered" functions primarily as a descriptive adjective phrase. As Ludwig AI confirms, it modifies a noun to indicate that items or data points are grouped closely and significantly. Examples show it describing spatial patterns, data distributions, and genetic traits.

Expression frequency: Very common

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Reference

0%

Ludwig's WRAP-UP

The phrase "strongly clustered" is a descriptive adjective phrase predominantly used in formal and scientific writing. Ludwig AI confirms it's grammatically correct, indicating a significant grouping or concentration of items. This phrase is commonly found in scientific contexts to describe data distributions, spatial patterns, or genetic traits. To ensure effective usage, quantify the strength of clustering and provide context for interpretation. While alternatives like "tightly grouped" or "densely packed" exist, "strongly clustered" maintains a formal and precise tone suitable for academic and technical discourse.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

tightly grouped

Focuses on the density of the grouping.

densely packed

Emphasizes the compactness and proximity within the group.

highly concentrated

Highlights the degree of concentration within a specific area.

closely congregated

Suggests a gathering or assembly in close proximity.

markedly aggregated

Implies a noticeable accumulation or clustering effect.

distinctly grouped

Emphasizes the clear separation and formation of groups.

significantly amassed

Indicates a substantial accumulation or gathering.

noticeably collected

Highlights the observable act of gathering or collecting.

considerably accumulated

Focuses on the significant amount that has gathered over time.

predominantly bunched

Suggests a primary or main grouping in a bunch-like formation.

FAQs

How can I use "strongly clustered" in a sentence?

You can use "strongly clustered" to describe data points, objects, or individuals that are grouped closely together. For example, "The survey responses were "strongly clustered" around a particular demographic group."

What are some alternatives to "strongly clustered"?

Some alternatives include "tightly grouped", "densely packed", or "highly concentrated", depending on the specific nuance you want to convey.

Is it appropriate to use "strongly clustered" in formal writing?

Yes, "strongly clustered" is appropriate for formal writing, especially in scientific or technical contexts where precise descriptions of data distributions are necessary. It is commonly found in academic papers and reports.

What does it mean when data points are "strongly clustered"?

When data points are "strongly clustered", it means they are not evenly distributed but are concentrated in specific areas or around certain values. This can indicate patterns, correlations, or underlying factors influencing the distribution.