clustering of points

USAGE SUMMARY

The phrase "clustering of points" is correct and usable in written English.
It can be used in contexts such as data analysis, statistics, or machine learning when discussing the grouping of data points based on certain characteristics. Example: "The clustering of points in the scatter plot indicates distinct groups within the dataset."

✓ Grammatically correct

Science

News & Media

Human-verified examples from authoritative sources

Exact Expressions

15 human-written examples

As suggested by Li et al. (2013), the dense clustering of points in the evaporation domain can be an indication of anthropogenic activities.

Applied Water Science

HTBT parametrisation of the sphere generates a clustering of points in the entire tropical belt; the density of the grid point distribution decreases smoothly in the domain outside the tropics.

Journal of Computational Physics

The use of D70 as a dose metric may be more optimal than Davg when comparing to response, as seen by a tighter clustering of points around the curve; however, the difference is subtle.

EJNMMI Research

A "medoid" based approach to clustering of points described in PAM, CLARA or CLARANS where two clusters has been be merged based on the farthest distance between two points in the cluster pair and this tested merged cluster satisfies less than a certain threshold value for the diameter measure.

Journal of Big Data

In Figure 4A, there is a clustering of points in the lower left quadrant.

Plosone

These dotplots were examined for clustering of points, which allowed us to explore the possibility of consistent correlations in one or more subsets.

Plosone

Human-verified similar examples from authoritative sources

Similar Expressions

45 human-written examples

Fig. 4 Point cloud Fig. 5 Divided boxes Fig. 6 Result of labeling and mean-shift clustering of point cloud.

ROBOMECH Journal

We first apply the log Gaussian Cox process (LGCP), commonly used to model spatial clustering of point patterns, to accommodate temporal variation within the sampled communities.

Spatial and Spatio-temporal Epidemiology

The addition of Smith's star turns a random cluster of points into a constellation, the way new work of this calibre always does.

The New Yorker

Each analyte was represented by a cluster of points.

Nanoscale Research Letters

In this section, users have three options: Calculate clusters of points, Detect outliers and clusters, and Predict trends and volatility.

TechCrunch

Expert writing Tips

Best practice

When describing spatial data, use "clustering of points" to clearly indicate the presence of groups or concentrations of data points, enhancing the interpretability of your analysis.

Common error

Avoid using "clustering of points" when the data points are evenly distributed or randomly scattered. "Clustering" implies a non-random grouping, so using it inappropriately can misrepresent the actual pattern.

Linguistic Context

The phrase "clustering of points" functions as a noun phrase, typically serving as the subject or object of a sentence. It describes the arrangement or pattern formed when data points are grouped closely together. Ludwig examples illustrate its use in scientific and technical contexts.

Expression frequency: Common

Frequent in

Science

82%

News & Media

10%

Wiki

8%

Less common in

Formal & Business

0%

Encyclopedias

0%

Reference

0%

Ludwig's WRAP-UP

The phrase "clustering of points" is a common and grammatically correct noun phrase used to describe grouped data points, especially in scientific and technical contexts. As Ludwig AI confirms, its meaning and usage are straightforward, making it a reliable term for spatial and statistical analysis. When writing, remember to use the term when points show distinct grouping, avoiding its use for random distributions. Alternatives such as "point aggregation" or "point grouping" can provide slight nuances in meaning when needed.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

point aggregation

This alternative focuses on the act of points coming together, simplifying the concept.

point grouping

This alternative is less technical and more generally describes the act of forming groups of points.

point concentration

This alternative emphasizes the density of points in a specific area.

spatial point pattern

This alternative highlights the spatial arrangement and distribution of points.

point distribution pattern

This alternative focuses on the arrangement of points across a space.

aggregate of points

Switches the focus to a collection of points, emphasizing their combined presence.

group of points

Simplifies the phrase to a general description of a set of points.

accumulation of points

Emphasizes the process of points gathering or building up in one location.

spatial clustering

Highlights the spatial aspect of the clustering, indicating points grouped based on their location.

clumping of points

Emphasizes the points forming irregular, dense groups.

FAQs

How can I use "clustering of points" in a sentence?

You can use "clustering of points" to describe the spatial arrangement of data. For example, "The analysis revealed a distinct "clustering of points" in the high-density area, indicating a concentration of activity."

What is the difference between "clustering of points" and "spatial distribution"?

"Clustering of points" specifically refers to the grouping of points in close proximity, whereas "spatial distribution" encompasses the overall arrangement and pattern of points across a space, which may or may not include clustering.

What can I say instead of "clustering of points"?

Alternatives include "point aggregation", "point grouping", or "point concentration", depending on the specific nuance you want to convey. Each of these alternatives highlights a slightly different aspect of the grouping phenomenon.

In what contexts is "clustering of points" most commonly used?

"Clustering of points" is frequently used in fields like spatial statistics, data analysis, and machine learning to describe patterns in datasets where points are grouped together based on specific criteria or characteristics.