matching distance

USAGE SUMMARY

The phrase "matching distance" is correct and usable in written English.
It can be used in contexts related to comparing or aligning distances, such as in mathematics, physics, or data analysis. Example: "The algorithm calculates the matching distance between the two sets of coordinates to determine their similarity."

✓ Grammatically correct

Science

Academia

Human-verified examples from authoritative sources

Exact Expressions

38 human-written examples

Obtained via matching distance fluctuations, these force constants represent strengths of mechanical coupling between CG beads.

Methods in Enzymology

Experimental results prove that the higher matching distance is observed by distance metric rather than similarity measures.

Journal of Forensic and Legal Medicine

Fig. 1: Unweighted neighbour-joining tree based on 3,010 samples and computed on a simple matching distance matrix for filtered SNPs.

Nature

Moreover, during the process of initialization, we adopt a new distance metric — weighted matching distance metric, to calculate the distance between two objects described by categorical attributes.

Information Sciences

The ISPP track handbook provides additional information on estimated costs, application and admission requirements, program calendar, program completion requirements, availability of financial aid or scholarships, computer matching, distance education and identification of preceptors.

University of California, Berkeley

Matching distance of device ability.

EURASIP Journal on Wireless Communications and Networking

Human-verified similar examples from authoritative sources

Similar Expressions

22 human-written examples

More precisely, the comparison of new methods such as BM3D or LPG-PCA, which are based on bloc matching, distances us from the context of this work.

EURASIP Journal on Image and Video Processing

To decide about the identity of the test iris image, the fusion rule explained below is adopted to obtain the final similarity from the computed matching distances.

EURASIP Journal on Advances in Signal Processing

Based on the same SNP dataset, simple matching distances between each pair genotypes were calculated using R package ade4.

BMC Genomics

The resulting matching distances were then reported in a heatmap and manually inspected with the additional support of PFAM database (http://pfam.sanger.ac.uk).sanger.ac.uk

BMC Genomics

For each data set, 1000 bootstrapped simple matching distances were generated to construct a neighbour-joining consensus tree condensed to 50%% of the bootstrap support using the Mega 3·1 software (Kumar et al., 2004; http://www.megasoftware.net/).net/

Annals of Botany

Expert writing Tips

Best practice

When using "matching distance" in technical writing, clearly define the method used to calculate the distance to ensure reproducibility and avoid ambiguity.

Common error

Avoid using "matching distance" interchangeably with "similarity". "Matching distance" specifically refers to a measure of dissimilarity or separation, while similarity describes how alike two things are. Using the incorrect term can lead to misinterpretation of your findings.

Linguistic Context

The phrase "matching distance" functions as a noun phrase, typically acting as the subject or object of a sentence. It describes a specific type of measurement or metric used to quantify the dissimilarity between two entities. As Ludwig AI confirms, the phrase is correct and usable in English.

Expression frequency: Common

Frequent in

Science

84%

Academia

12%

Encyclopedias

4%

Less common in

News & Media

0%

Formal & Business

0%

Reference

0%

Ludwig's WRAP-UP

In summary, the phrase "matching distance" is a grammatically sound and frequently used term, primarily in scientific and academic fields. As Ludwig AI confirms its correctness and usability. It serves to quantify the dissimilarity between entities, aiding in comparative analysis and pattern recognition. While alternatives like "similarity metric" exist, understanding the specific context is crucial for accurate usage. Remember to define your calculation method clearly to prevent ambiguity. The term's prevalence in formal settings dictates a careful approach to its application, ensuring precision and clarity in technical writing.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

similarity score

A general term for quantifying how alike two things are.

similarity metric

Focuses on the degree of similarity rather than the spatial separation.

degree of similarity

Highlights the extent to which two entities are alike.

correspondence measure

Highlights the degree to which two entities align or match.

proximity measure

Focuses on how close two entities are, without necessarily implying a direct match.

alignment score

Emphasizes the quality of alignment between two datasets or sequences.

similarity index

Quantifies the extent to which data points or feature sets resemble each other.

proximity index

Indicates how close or near two items are in a given space or feature set.

resemblance coefficient

Quantifies the degree of similarity or likeness between two entities.

correlation factor

Measures the statistical relationship between two variables.

FAQs

How is "matching distance" used in data analysis?

In data analysis, "matching distance" is used to quantify the dissimilarity between data points or sets. It helps in clustering, classification, and anomaly detection by providing a measure of how far apart different entities are in a feature space.

What are some alternative terms for "matching distance"?

You can use alternatives like "similarity metric", "correspondence measure", or "alignment score" depending on the specific context. These phrases convey a similar concept of quantifying the relationship between two entities.

How does "matching distance" differ from "Euclidean distance"?

"Matching distance" is a more general term that can refer to various methods of quantifying dissimilarity, while "Euclidean distance" refers to a specific formula for calculating the straight-line distance between two points in Euclidean space. The choice of distance metric depends on the nature of the data and the problem at hand.

In what contexts is "matching distance" most commonly used?

"Matching distance" is frequently used in fields such as bioinformatics, image processing, and pattern recognition, where the goal is to find similarities or differences between complex datasets. It is also used in social sciences and medicine.