The phrase "a nearest prototype" is not correct in standard English usage.
The correct form would typically be "the nearest prototype" or "a nearest example."
Example: "In our research, we identified the nearest prototype to our design, which helped us refine our approach."
Alternatives: "the closest model" or "a similar prototype."
To determine genes that discriminate between primary tumours and metastases, we employed a supervised classification method using a nearest prototype classifier, and a leave-one-out crossvalidation method (van 't Veer et al, 2002).
The top ranked genes to separate the two classes in a nearest prototype classifier were determined and used in a crossvalidation procedure (Hughes et al, 2000; van 't Veer et al, 2002).
The good results achieved at a near prototype scale are promising regarding the use of the numerical model for design purposes.
Here, we describe the Barrier Dynamics II Experiment (BARDEX II), which involved placing a near prototype-scale sandy barrier in the middle of the Delta Flume in the Netherlands and subjecting the structure to a range of wave, tide, and water level conditions.
Finally, two ongoing large research programs on river ecosystem restoration, of which are sponsored by the Government of Korea, are briefly introduced, followed by the introduction of a near-prototype experiment facility recently completed mainly for research on ecological river engineering.
A crisp Nearest Prototype LVQ classifier assigns a feature vector x ⃗ to class 1 (activation) if d (w ⃗ 1, x ⃗ ) ≤ d (w ⃗ 0, x ⃗ ) and to class 0 (inactive) otherwise.
This paper presents some new approaches for computing graph prototypes in the context of the design of a structural nearest prototype classifier.
In particular, the difference between the fuzzy approaches and ours can be explained in such a way that our educational data sets have many distinct groups of similar students and thus, a choice of the nearest prototype strategy is appropriate.
Following kernel-based vector quantization, we define a robust effective simple solution, named VQ_fk_nps, which is able to not only handle ubiquitous data incompleteness in an iterative manner using the nearest prototype strategy but also optimize the clusters in the feature space to reach the resulting clusters with arbitrary shapes in the data space.
In our opinion, the incomplete data update approach in the nearest prototype strategy is a special case of that in the optimal completion strategy regardless of fuzziness for the membership of each vector.
The shrunken centroid is an improved method of the simple nearest prototype (centroid) classifier.
