Task 4: Result Discussion

[kgoel59]

Task 4: Result Discussion

In this task, you are expected to address the following questions and more in the "Result Discussion" section of your report:

1. Cluster and Class Separation:

   • Are the clusters well separated from each other?
   • Did the classifiers effectively separate products into distinct classes?
   • Do any of the clusters or classes contain only a few data points?

2. Meaningfulness of Clusters/Classes:

   • Are there meaningful and non-meaningful clusters or classes relevant to the analytical problems posed in Task 1?

3. Algorithm Evaluation:

   • What are the advantages and disadvantages of the clustering and classification algorithms used in this analysis?
   • Which algorithm provides results of greater value for this specific case?

4. Suitability for Big Data:

   • Are the algorithms examined suitable for Big Data analytics? Provide your reasoning.

5. Impact of Data Preprocessing:

   • How does data preprocessing affect clustering and classification results? Provide your insights.

6. Additional Insights:

   • Any other observations or insights you find relevant.

Finally, report on the following:

• The 10 best products identified.
• The best category overall.
• Your suggestions to improve NewChic's analytics or product offerings.