point grouping

USAGE SUMMARY

The phrase "point grouping" is correct and usable in written English.
It can be used in contexts related to data analysis, statistics, or any situation where items are categorized or organized based on specific points or criteria. Example: "In our analysis, we will focus on point grouping to better understand the distribution of data across different categories."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

4 human-written examples

SIFT features are extracted from an image, and rectangular regions that contain a feature cluster are selected ("Distinctive feature region extraction based on feature point grouping").

ROBOMECH Journal

Euclidean distance D to group two feature points ("Distinctive feature region extraction based on feature point grouping") was set to (sqrt{10}).

ROBOMECH Journal

It consists of three phases: Feature region detection: SIFT features are extracted from an image, and rectangular regions that contain a feature cluster are selected ("Distinctive feature region extraction based on feature point grouping").

ROBOMECH Journal

The parameters used to select the local feature region were experimentally defined as follows: Euclidean distance D to group two feature points ("Distinctive feature region extraction based on feature point grouping") was set to (sqrt{10}).

ROBOMECH Journal

Human-verified similar examples from authoritative sources

Similar Expressions

56 human-written examples

Point group P2 is a regular subgroup of P24.

Acta Materialia

The first level is the point group symmetry.

Journal of Solid State Chemistry

Through May 20. "Art to the Point," group show.

The New York Times

Regular workdays for the Oyster Point group are scheduled for Saturdays from 12 00pm-2 00pm.

Yale University

At this point, group membership conveys nothing at all about educational outcomes.

Harvard University

Today, the Oyster Point group held the first workday of the season.

Yale University

The β′ phase has a base-centred orthorhombic structure, with a potential point group of mmm.

Acta Materialia

Expert writing Tips

Best practice

When describing image analysis or data processing, use "point grouping" to refer to the process of clustering feature points based on their spatial proximity or shared characteristics. This term is particularly relevant in computer vision and robotics contexts.

Common error

Avoid using "point grouping" as a general synonym for any type of data organization. This term is specific to scenarios where data points (often features extracted from images or signals) are clustered based on geometric or feature-space proximity. Prefer more general terms like "categorization" or "clustering" when the context is not specifically about feature points.

Linguistic Context

The phrase "point grouping" functions as a noun phrase that describes a process or method. It is commonly used to refer to the act of clustering or grouping data points based on certain criteria. The Ludwig AI indicates that the phrase is correct and usable in written English, especially in technical contexts.

Expression frequency: Rare

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Encyclopedias

0%

Ludwig's WRAP-UP

In summary, "point grouping" is a noun phrase primarily used in scientific and technical contexts, particularly in image processing and data analysis. It refers to the method of clustering data points based on their similarity or proximity. According to Ludwig AI, the phrase is grammatically correct and usable. It's crucial to use this term specifically when referring to feature points in images or signals. Alternatives like "data clustering" or "category segmentation" may be more appropriate in broader contexts. The consistent usage in scientific literature underscores its formal and precise application.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

feature clustering

Focuses specifically on grouping features based on similarity or proximity.

data clustering

Broader term referring to grouping data points based on similarity.

cluster analysis

Emphasizes the analytical process of forming clusters.

group feature points

Highlights the action of grouping feature points together.

feature aggregation

Focuses on combining features into larger groups.

pattern grouping

Highlights the identification and grouping of patterns.

data segmentation

Implies dividing data into distinct segments based on criteria.

category formation

Focuses on the process of creating distinct categories.

group identification

Stresses the act of identifying and labeling groups.

data binning

Refers to organizing data into bins or intervals.

FAQs

How is "point grouping" used in image processing?

"Point grouping" is used in image processing to cluster feature points based on their spatial proximity or similar characteristics. This helps in identifying regions of interest or patterns within an image, as described in the context of "distinctive feature region extraction".

What is an alternative to "point grouping" in data analysis?

In data analysis, you can use "data clustering" or "cluster analysis" as alternatives to "point grouping", especially when not dealing specifically with feature points from images.

What does "point grouping" achieve in feature extraction?

In feature extraction, "point grouping" helps to aggregate similar features into meaningful clusters. This aggregation simplifies data and allows for more efficient and effective analysis of patterns or regions of interest. Consider using "feature clustering" to emphasize this aspect.

Is "point grouping" the same as "data binning"?

While both involve organizing data, "point grouping" is more about clustering similar points based on proximity or characteristics, whereas "data binning" typically involves organizing data into predefined bins or intervals. The former is more flexible and adaptive to the data's structure.