Need help with an EM Clustering algorythm (please fill in "#your code here" with python code and an explanation so that I can learn):

import numpy as np import math

def em_clustering(centroids, dataset):

# Input: # 1. centroids - A list of lists with each value representing the mean and standard deviation values picked from a gausian distribution. # 2. dataset - A list of points randomly picked. # Output: # 1. results - Return the updated centroids(updated mean and std values after the EM step) after the first iteration.

new_centroids = list() # your code here return new_centroids