K-Means Clustering vs Classification in Machine Learning
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Questions and Answers

What determines the clusters significantly when the number of data is not large?

  • Number of clusters
  • Objects clustering
  • Initial grouping (correct)
  • Iteration stability

Which factor must be determined before carrying out k-mean clustering?

  • Number of clusters (K) (correct)
  • Objects-Centroids distances
  • Number of iterations
  • Initial condition

What is a disadvantage of k-mean clustering according to the text?

  • It is not sensitive to initial conditions
  • It yields the same result with each run
  • Resulting clusters depend on initial random assignments (correct)
  • It guarantees the real cluster will be known

Why might the algorithm of k-mean clustering be trapped in a local optimum?

<p>Different initial conditions may produce different results (A)</p> Signup and view all the answers

What indicates that the computation of k-mean clustering has reached stability?

<p>No more iteration needed (B)</p> Signup and view all the answers

Why does k-mean clustering not yield the same result with each run according to the text?

<p>Random initialization (B)</p> Signup and view all the answers

What may produce different cluster results if the same data is inputted in a different order?

<p>K-means algorithm (C)</p> Signup and view all the answers

Why is big data considered challenging in terms of volume?

<p>Exponential increase in collected/generated data (C)</p> Signup and view all the answers

What kind of data feed is mentioned as contributing to the increase in data volume?

<p>Data feeds containing environmental, location, and other information (D)</p> Signup and view all the answers

In what way does high-frequency stock trading impact the data landscape?

<p>It reflects market changes within microseconds (C)</p> Signup and view all the answers

Which type of devices generate massive log data in real-time according to the text?

<p>Infrastructure and sensors (A)</p> Signup and view all the answers

What is a characteristic of on-line gaming systems mentioned in relation to data volume?

<p>Supporting millions of concurrent users (A)</p> Signup and view all the answers

How has the scale of data storage evolved since 2000 based on the information provided?

<p>$50$ times larger (B)</p> Signup and view all the answers

What is characteristic of sensors embedded into everyday objects that contribute to big data?

<p>They create billions of new, constantly-updated data feeds (A)</p> Signup and view all the answers

Why do clickstreams and ad impressions capture user behavior at high event rates?

<p>To reflect user behavior at millions of events per second (D)</p> Signup and view all the answers

What is a key aspect of machine to machine processes mentioned in terms of data exchange?

<p>Exchange among billions of devices (D)</p> Signup and view all the answers

What impact do smart phones and sensors embedded into everyday objects have on data generation according to the text?

<p>Result in billions of new, constantly-updated data feeds containing varied information (B)</p> Signup and view all the answers

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