Nearest-neighbor Interpolation Method

Interpolation:

A method for adding new data points within a range of a set of known data points is called interpolation. Interpolation can be used to fill in gaps in data, smooth out data, make predictions, and more. Techniques for data points on a grid and scattered data points are the two subsets of interpolation in MATLAB...

Nearest-neighbor Interpolation Method:

The simplest method is a round interpolation (also known as nearest-neighbor interpolation), which simply finds the closest data value at an integer position by rounding the expected position’s value....

Nearest-neighbor Algorithm:

The k-nearest neighbor’s algorithm, also referred to as KNN or k-NN, is a supervised learning classifier that uses proximity to make classifications or predictions about the grouping of a single data point. Although it can be applied to classification or regression problems, it is typically used as a classification algorithm because it relies on the idea that similar points can be found close to one another....