Recent Lessons

Show all results for ""

Feature Overview

Ace your exams with our all-in-one platform for creating and sharing quizzes and tests.

Quizzes

Create quizzes and tests automatically from your content using AI.

Flashcards

Automatically turn your notes into digital flashcards.

Share, Export & Embed

Share with classmates or export to Excel and your learning management system.

Stats & Reporting

Auto-grading quizzes and tests with detailed stats and reports.

Mobile Apps

The smarter way to study – wherever you are.

Pricing

Search...

K-Means Clustering vs Classification in Machine Learning

17 Questions

1 Views

K-Means Clustering vs Classification in Machine Learning

Choose a study mode

Play Quiz

Study Flashcards

Spaced Repetition

Chat to lesson

Podcast

Play an AI-generated podcast conversation about this lesson

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?

Different initial conditions may produce different results Signup and view all the answers

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

No more iteration needed Signup and view all the answers

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

Random initialization Signup and view all the answers

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

K-means algorithm Signup and view all the answers

Why is big data considered challenging in terms of volume?

Exponential increase in collected/generated data Signup and view all the answers

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

Data feeds containing environmental, location, and other information Signup and view all the answers

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

It reflects market changes within microseconds Signup and view all the answers

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

Infrastructure and sensors Signup and view all the answers

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

Supporting millions of concurrent users Signup and view all the answers

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

$50$ times larger Signup and view all the answers

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

They create billions of new, constantly-updated data feeds Signup and view all the answers

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

To reflect user behavior at millions of events per second Signup and view all the answers

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

Exchange among billions of devices 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?

Result in billions of new, constantly-updated data feeds containing varied information Signup and view all the answers