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intrinsic data
Grammar usage guide and real-world examplesUSAGE SUMMARY
The phrase "intrinsic data" is correct and usable in written English.
It can be used in contexts where you are discussing data that is inherent or essential to a particular system or process. Example: "The analysis of intrinsic data is crucial for understanding the underlying patterns in the dataset."
✓ Grammatically correct
Science
Table of contents
Usage summary
Human-verified examples
Expert writing tips
Linguistic context
Ludwig's wrap-up
Alternative expressions
FAQs
Human-verified examples from authoritative sources
Exact Expressions
19 human-written examples
The Manifold Ranking algorithm [20] was proposed aiming at ranking the objects with respect to the intrinsic data distribution.
Furthermore, probabilistic cryptosystems cause an intrinsic data expansion due to the adoption of randomizing parameters in the encryption function.
The intrinsic data flow direction in multi-hop cluster based sensor networks causes uneven load distribution in the network.
Science
Moreover, FA is invariant to the component-wise rescaling of the feature space for input data by preserving the intrinsic data structures (Bishop 2006).
Science
In general, a reasonable amount of intrinsic data is available, but extrinsic data are lacking; more research is needed for the hydrides to be used in practical applications.
Also, intelligent pipeline scheduling mechanism is proposed to break the intrinsic data dependency in intra prediction, which is directly related with mode decision.
Human-verified similar examples from authoritative sources
Similar Expressions
41 human-written examples
Contrary to external validation, internal clustering validation is based only on the intrinsic information of the data.
(Note: the metastate HMM uses only the intrinsic information in the data making no use of extrinsic information, such as ESTs, protein homology, etc).
In filter methods, attributes are categorised according to the intrinsic information of the data and it is independent of the classification algorithm [15].
Internal cluster indices evaluate the quality of a clustering result by using only intrinsic information of the data.
Science
Together with classic prognostic factors, the intrinsic subtype data provide information with which to appraise the total recurrence risk for a given patient.
Science
Expert writing Tips
Best practice
When analyzing "intrinsic data", clearly define the scope and boundaries of what you consider intrinsic to avoid ambiguity in interpretation.
Common error
Avoid using "intrinsic data" when you actually mean extrinsic data. Intrinsic refers to inherent properties, while extrinsic refers to external or added information. Mistaking the two can lead to misinterpretations.
Source & Trust
83%
Authority and reliability
4.4/5
Expert rating
Real-world application tested
Linguistic Context
The phrase "intrinsic data" functions as a noun phrase, typically used as a subject or object in a sentence. Ludwig AI shows examples in academic and scientific contexts where it describes inherent or essential characteristics of a dataset or system.
Frequent in
Science
100%
Less common in
News & Media
0%
Formal & Business
0%
Academia
0%
Ludwig's WRAP-UP
In summary, "intrinsic data" refers to inherent or essential information within a system or dataset. Ludwig AI analysis confirms it's grammatically correct and commonly used, particularly in scientific and academic writing. The main challenge is distinguishing it from "extrinsic data", which is external and not inherent. To use it effectively, clearly define the scope and be mindful of potential misinterpretations. Understanding the nuances of this phrase helps ensure clarity and precision in technical and academic discussions.
More alternative expressions(6)
Phrases that express similar concepts, ordered by semantic similarity:
inherent information
Focuses on information that is naturally part of something, similar to intrinsic properties.
essential data
Highlights data that is crucial and fundamental, akin to intrinsic qualities.
fundamental attributes
Emphasizes basic and necessary qualities of something.
underlying characteristics
Indicates the foundational or core features of data.
internal properties
Stresses features that are part of the data itself, not external influences.
immanent qualities
Refers to qualities that are naturally existing or inherent within the data.
endogenous variables
In statistical contexts, variables determined within the model, representing inherent data dynamics.
built-in features
Highlights features that are integrated and part of the data's structure.
innate attributes
Focuses on naturally occurring or inborn qualities of the data.
constitutive elements
Highlights the elements that compose the essential nature of data.
FAQs
How is "intrinsic data" used in research?
"Intrinsic data" is used to analyze inherent properties and characteristics of a subject, process, or system without considering external influences. It helps to understand the fundamental nature of what is being studied.
What's the difference between "intrinsic data" and "extrinsic data"?
"Intrinsic data" refers to information that is inherent and internal to a system or object, while "extrinsic data" refers to information that is external and not naturally part of that system or object.
What are some examples of "intrinsic data" in machine learning?
In machine learning, examples of "intrinsic data" include feature distributions, data correlations, and inherent patterns within the dataset, which algorithms use to learn and make predictions.
How can I improve the quality of "intrinsic data" analysis?
To enhance the quality of "intrinsic data" analysis, ensure data is accurately measured, cleaned of noise, and appropriately preprocessed to reveal meaningful underlying patterns.
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Table of contents
Usage summary
Human-verified examples
Expert writing tips
Linguistic context
Ludwig's wrap-up
Alternative expressions
FAQs
Source & Trust
83%
Authority and reliability
4.4/5
Expert rating
Real-world application tested