link Source: www.coursera.org
list 4 sequences
assignment Level : Introductory
chat_bubble_outline Language : English
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Key Information

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verified_user Fee-based Certificate
timer 16 hours in total

About the content

Discover the basic concepts of cluster analysis, and then study a set of typical clustering methodologies, algorithms, and applications. This includes partitioning methods such as k-means, hierarchical methods such as BIRCH, and density-based methods such as DBSCAN/OPTICS. Moreover, learn methods for clustering validation and evaluation of clustering quality. Finally, see examples of cluster analysis in applications.

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Syllabus

  • Week 1 - Course Orientation
    You will become familiar with the course, your classmates, and our learning environment. The orientation will also help you obtain the technical skills required for the course.
  • Week 1 - Module 1
     
  • Week 2 - Week 2
     
  • Week 3 - Week 3
     
  • Week 4 - Week 4
     
  • Week 4 - Course Conclusion
    In the course conclusion, feel free to share any thoughts you have on this course experience.
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Instructors

Jiawei Han
Abel Bliss Professor
Department of Computer Science

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Content Designer

University of Illinois at Urbana-Champaign

The University of Illinois at Urbana-Champaign was founded in 1867 (UIUC). The main campus of the University of Illinois is located in the twin cities of Champaign and Urbana, two hundred kilometres south of Chicago. 

This major university is ranked among the most prestigious in the world by various measurements, such as the Center for World University Rankings, which place it 22nd worldwide for the period 2020-21.

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Platform

Coursera

Coursera is a digital company offering massive open online course founded by computer teachers Andrew Ng and Daphne Koller Stanford University, located in Mountain View, California. 

Coursera works with top universities and organizations to make some of their courses available online, and offers courses in many subjects, including: physics, engineering, humanities, medicine, biology, social sciences, mathematics, business, computer science, digital marketing, data science, and other subjects.

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