scikit-learn: Mean Shift ClusteringUnsolved
Educational Resource: https://towardsdatascience.com/a-beginners-guide-to-scikit-learn-14b7e51d71a4
Problem reported in interviews at
Mean shift clustering is an unsupervised learning algorithm that tries to shift the centroids (center of clusters) towards the mean of the surronding data points.
In this problem, you are asked to use sklearn to implement mean shift clustring algorithm given X_train to predict the labels of X_test.
Please use bandwidth=1 as a parameter for the model to match the output of the test cases.
X_train: [[1, 1], [2, 1], [1, 0], [4, 7], [3, 5], [3, 6]]
X_test: [[0, 0], [5, 5]]
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Input Test CasePlease enter only one test case at a time
numpy has been already imported as np (import numpy as np)