The phrase "a minimum set of features" is correct and usable in written English.
It can be used when discussing the essential functionalities or characteristics required for a product, service, or system.
Example: "To ensure the software meets user needs, we must define a minimum set of features that must be included in the initial release."
Alternatives: "a basic set of features" or "a fundamental set of features".
But regular users expect a minimum set of features for their browser.
The handsets provide a minimum set of features determined by Google, and will sell for around $100 in the competitive Indian phone market.
Consequently, these MAQC-II gene expression signatures offer a unique opportunity to develop novel meta-analysis strategies that yield a minimum set of features with maximum predictive power.
This suggests that even pathogens of a low virulence have to possess a minimum set of features determining their pathogenicity, which would allow them to penetrate and proliferate in a host organism.
Since many genes exhibit near constant expression levels across the tumor samples, we first carried out a feature selection for each classification to find a minimum set of features that are useful for classification.
While syndrome coding in steganographic schemes tends to reduce distortion during embedding, Miche et al. in "Reliable Steganalysis Using a Minimum Set of Samples and Features" push sensitivity of universal steganalysis a step further and reduce secure capacities of any steganography a bit.
The findings indicate that, for any social commerce website, it is critical to achieve a minimum set of social commerce design features.
Feature selection is concerned with finding the minimum set of features required for a successful machine learning application.
What's the bare minimum set of features and functionality that make for a compelling experience, but doesn't overdo it?" says Matt Galligan, chief executive of mobile news startup Circa.
This meant identifying the absolute minimum set of features required for relaunch.
The goal of the feature selection algorithm is to select the minimum set of features that are strongly related to the desired decision variable and have the least redundancy among them [ 10, 11].
