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Assignment - K-mean Clustering
In this assignment, you are going to implement the standard K-means clustering algorithm.
1. Show dataset.
2. Improve the following code to choose good centroids for initialization (20 points)\n",
3. The K-means algorithm
Step 1: Initilization using the good_init function.
Step 2.1: Measure the distance to every center, and assign culuster index to every sample.
Step 2.2: Update centroids ctrs using X and cluster_idx.
Step 3: Calculate the inertia: within-cluster sum of squared distance.
Attachment:- Assignment File - K-mean Clustering.rar
Homework 3: K-mean Clustering .Please read the homework carefully and do it I think you should download Jupyter Notebook to open the homework IPYNB File (.ipynb). Also, I sent word file (Jupyter) that has the picture of Jupyter Notebook to see it.
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