14. Blogs K Means Cluster Q.docx
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Simple Case Study of Implementing K Means Clustering on the IRIS Dataset
1. Import tools and libraries:
2. Create a function to extract a cluster with k labels:
3. Generate hypothetical data for practice:
4. Loading the inbuilt IRIS dataset in Python:
5. Algorithm to extract the clusters and compute sum of squared errors
6. Visualisation: a) No. of clusters v/s SSE b) No. of clusters v/s accuracy
1. Import tools and libraries:
2. Create a function to extract a cluster with k labels:
3. Generate hypothetical data for practice:
4. Loading the inbuilt IRIS dataset in Python:
5. Algorithm to extract the clusters and compute sum of squared errors
6. Visualisation: a) No. of clusters v/s SSE b) No. of clusters v/s accuracy
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