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6.4.7 R6. Segmenting Images - Video 5: K-Means Clustering
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MIT 15.071 The Analytics Edge, Spring 2017 - 6.4.7 R6. Segmenting Images - Video 5: K-Means Clustering

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MIT 15.071 The Analytics Edge, Spring 2017 6.4.7 R6. Segmenting Images - Video 5: K-Means Clustering

6.4.7 R6. Segmenting Images - Video 5: K-Means Clustering Transcript and Lesson Notes

MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Nataly Youssef Using the k-means algorithm in R to segment the MRI brain image. License: Creative Commons BY-

Quick Summary

MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Nataly Youssef Using the k-means algorithm in R to segment the MRI brain image. License: Creative Commons BY-

Key Takeaways

  • Review the core idea: MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Nataly Youssef Using the k-means algorithm in R to segment the MRI brain image. License: Creative Commons BY-
  • Understand how MRI images fits into 6.4.7 R6. Segmenting Images - Video 5: K-Means Clustering.
  • Understand how MRI brain scan fits into 6.4.7 R6. Segmenting Images - Video 5: K-Means Clustering.
  • Understand how segmenting fits into 6.4.7 R6. Segmenting Images - Video 5: K-Means Clustering.
  • Understand how gray scale images fits into 6.4.7 R6. Segmenting Images - Video 5: K-Means Clustering.

Key Concepts

Full Transcript

MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Nataly Youssef Using the k-means algorithm in R to segment the MRI brain image. License: Creative Commons BY-NC-SA More information at https://ocw.mit.edu/terms More courses at https://ocw.mit.edu

Lesson FAQs

What is 6.4.7 R6. Segmenting Images - Video 5: K-Means Clustering about?

MIT 15.071 The Analytics Edge, Spring 2017 View the complete course: https://ocw.mit.edu/15-071S17 Instructor: Nataly Youssef Using the k-means algorithm in R to segment the MRI brain image. License: Creative Commons BY-

What key concepts are covered in this lesson?

The lesson covers MRI images, MRI brain scan, segmenting, gray scale images, k-means.

What should I learn before 6.4.7 R6. Segmenting Images - Video 5: K-Means Clustering?

Review the previous lessons in MIT 15.071 The Analytics Edge, Spring 2017, then use the transcript and key concepts on this page to fill any gaps.

How can I practice after this lesson?

Practice by applying the main concepts: MRI images, MRI brain scan, segmenting, gray scale images.

Does this lesson include a transcript?

Yes. The full transcript is visible on this page in indexable HTML sections.

Is this lesson free?

Yes. CourseHive lessons and courses are available to learn online for free.

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