{"id":11366,"date":"2026-05-28T20:20:40","date_gmt":"2026-05-28T10:20:40","guid":{"rendered":"https:\/\/casestudyhelp.com\/sample-questions\/?p=11366"},"modified":"2026-05-28T20:20:40","modified_gmt":"2026-05-28T10:20:40","slug":"sem312ds-k-means-clustering-in-data-science-question","status":"publish","type":"post","link":"https:\/\/casestudyhelp.com\/sample-questions\/sem312ds-k-means-clustering-in-data-science-question\/","title":{"rendered":"SEM312DS k-means clustering in Data Science Question"},"content":{"rendered":"

Need SEM312DS k-means clustering in Data Science Question? At Casestudyhelp.com, we are a trusted assignment-writing service<\/strong><\/a> for college and university students, offering professional writing services. We cover a wide range of assignments, including programming<\/strong><\/a>, engineering<\/strong><\/a>, and MBA assignments<\/strong><\/a>, at an affordable price with on-time delivery.<\/em><\/p><\/blockquote>\n

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ASSESSMENT TASKS<\/strong><\/span><\/h3>\n

Task 1 FORMATIVE TASK k-means Clustering in Principle<\/strong><\/h3>\n

FORMATIVE TASK<\/strong><\/span><\/p>\n

Instruction: Produce a briefing document for your boss to explain k-means clustering and its potential uses in your organisation. The report must contain the following:<\/p>\n

    \n
  • An outline of what is understood by k-means clustering, and the steps involved in the k- means clustering<\/li>\n
  • Identify and explain how to determine the optimal number of clusters \u2018k\u2019 by using the elbow method, and how to interpret SSE and WSS.<\/li>\n<\/ul>\n
      \n
    • Discuss the potential uses of k-means clustering within your organisation, and how it might help promote the business of the<\/li>\n<\/ul>\n

      Task 2 SUMMATIVE TASK k-means Clustering in Practice<\/strong><\/h3>\n

      SUMMATIVE TASK<\/strong><\/span><\/p>\n

      Instruction: Undertake a k-means clustering for your organisation and write a report on it. Your report must contain the following:<\/p>\n

        \n
      • An outline of how Python was used to create an accurate k-means algorithm, including an explanation of key terms such as Inertia and Silhouette Score. (LO 2.1, 3.1)<\/li>\n
      • Identify and explain how accurate visualisation of the clusters generated was carried out, and how the Inertia and Silhouette score were interpreted. (LO 2.2, 2.1, 3.2)<\/li>\n
      • A judgment as to the conclusions that can be drawn from the use of the algorithm, and the accuracy of these conclusions in making future decisions (LO 2.2, 3.3)<\/li>\n<\/ul>\n\n\n\n\n\n
        Learning Outcomes:<\/strong><\/p>\n

        To achieve this unit, the learner must be able to:<\/strong><\/td>\n

        		Assessment Criteria:<\/strong><\/p>\n

        Assessment of these learning outcomes will require a learner to demonstrate that they can:<\/strong><\/td>\n<\/tr>\n

        2. Understand how to evaluate\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 k<\/em>-means clusters<\/td>\n2.1\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Define:<\/p>\n

        –\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Inertia<\/p>\n

        –\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Silhouette Score<\/p>\n

        2.2\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Explain\u00a0 how\u00a0\u00a0 to\u00a0\u00a0 interpret\u00a0 Inertia\u00a0 and Silhouette score<\/td>\n<\/tr>\n

        3. Be able to create and evaluate a k<\/em>-means model.<\/td>\n3.1\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Use Python to build an accurate k<\/em>-means model.<\/p>\n

        3.2\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Use Python to create accurate visualisations of the clusters generated by the k<\/em>-means clustering algorithm.<\/p>\n

        3.3\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Use Python to evaluate the accuracy of a k<\/em>– means model.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

         <\/p>\n