Finding the nearest neighbors
Nearest neighbors model refers to a general class of algorithms that aim to make a decision based on the number of nearest neighbors in the training dataset. Let's see how to find the nearest neighbors.
How to do it…
- Create a new Python file, and import the following packages:
import numpy as np import matplotlib.pyplot as plt from sklearn.neighbors import NearestNeighbors
- Let's create some sample two-dimensional data:
# Input data X = np.array([[1, 1], [1, 3], [2, 2], [2.5, 5], [3, 1], [4, 2], [2, 3.5], [3, 3], [3.5, 4]])
- Our goal is to find the three closest neighbors to any given point. Let's define this parameter:
# Number of neighbors we want to find num_neighbors = 3
- Let's define a random datapoint that's not present ...
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