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Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

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mean cluster size

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "mean cluster size" is correct and usable in written English.
It can be used in contexts related to statistics, data analysis, or any field where clustering is relevant, such as computer science or biology. Example: "The mean cluster size in our dataset indicates the average number of items grouped together in each cluster."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

Intraclass correlation coefficients (ICCs) were excellent, ranging from rICC=.91 for number of strategic clusters, to rICC=.79 for mean cluster size.

This paper proposes a combinatorial optimization based systematic methodology for obtaining an optimal degree of decentralization on the basis of two metrics – one for optimality (defined as Coupling Loss Factor) and one for robustness (defined as Mean Cluster Size).

Its focus lies on estimating the proportion of points lying in clusters, the mean cluster size and the mean cluster radius without depending on prior knowledge of the parameters.

The BET-type III sorption isotherm obtained by microgravimetry was analyzed with the Zimm Lundberg approach to determine the mean cluster size in the UPR film: the latter increases drastically with the water content in the film.

Science

Polymer

From the water content at sorption equilibrium and the steady-state permeability, a mean diffusion coefficient for the steady state can be determined; its decrease with increasing water activity is consistent with the increase in the mean cluster size.

Science

Polymer

Extrapolation of the relationship between the mean cluster size and absorbed dose (c.f. Figure 5) of 2.4 Gy gives a mean cluster size of 5.7 and a maximal cluster size of 12 microspheres per cluster.

We relate EI to many relevant extremes in networks like order statistics, first hitting time, and mean cluster size.

Several useful applications of EI (first hitting time, order statistics, and mean cluster size) to analyze large graphs, known only through sampled sequences, are proposed.

Additionally, it was observed a clear dependence with He from which a continuous decreasing in mean cluster size is found with the increasing in He flow rate as shown in Fig. 3b.

However, when a Ar flow rate reach some value the mean cluster size decreases since Ar will also sweep the cluster through the aggregation zone more rapidly, this reducing the time for particle growth.

A continuous decreasing in mean cluster size was also observed with the increasing in He flow, which reveals its effective role to reduce the size by reducing the associated residence time in the aggregation zone.

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Expert writing Tips

Best practice

When reporting the "mean cluster size", always include the standard deviation or range to provide a better understanding of the data's distribution.

Common error

Avoid misinterpreting the "mean cluster size" as the total number of clusters. The former represents the average number of elements within each cluster, while the latter indicates the overall quantity of distinct clusters.

Antonio Rotolo, PhD - Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

82%

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Real-world application tested

Linguistic Context

The phrase "mean cluster size" functions as a noun phrase that quantifies the average number of elements within a group. As evidenced by Ludwig, it is used to provide a central tendency measure for cluster sizes in various datasets.

Expression frequency: Very common

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Academia

0%

Ludwig's WRAP-UP

In summary, "mean cluster size" is a common and grammatically correct noun phrase used primarily in scientific and technical contexts to describe the average size of clusters within a dataset. As Ludwig AI confirms, it's crucial for understanding the distribution of grouped elements. While the phrase is straightforward, it is important to not confuse it with the total cluster count and remember to include measures of variance like standard deviation when reporting it. By offering clear and direct writing guidance and anticipating common linguistic questions, this analysis ensures effective communication and avoids potential misinterpretations.

FAQs

How do I calculate the "mean cluster size"?

To calculate the "mean cluster size", sum the sizes of all clusters and divide by the number of clusters. For example, if you have three clusters of sizes 5, 7, and 9, the mean cluster size is (5 + 7 + 9) / 3 = 7.

What does the "mean cluster size" tell you?

The "mean cluster size" provides a measure of the typical size of clusters in a dataset. It can indicate the degree of aggregation or concentration within the data. A larger mean cluster size suggests that, on average, more elements are grouped together.

What are some alternatives to saying "mean cluster size"?

You can use alternatives like "average cluster size", "typical aggregate size", or "mean aggregation size" depending on the context.

How does "mean cluster size" relate to intraclass correlation coefficient (ICC)?

In cluster randomized trials, the "mean cluster size" and intraclass correlation coefficient (ICC) are used to calculate the design effect, which adjusts for the correlation of outcomes within clusters. A larger mean cluster size and higher ICC increase the design effect, requiring a larger sample size to maintain statistical power.

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Real-world application tested

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