Created by:  University of Illinois at Urbana-Champaign

  • Jiawei Han

    Taught by:  Jiawei Han, Abel Bliss Professor

    Department of Computer Science
Basic Info
Course 5 of 6 in the Data Mining Specialization
Language
English
How To PassPass all graded assignments to complete the course.
User Ratings
4.2 stars
Average User Rating 4.2See what learners said
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University of Illinois at Urbana-Champaign
The University of Illinois at Urbana-Champaign is a world leader in research, teaching and public engagement, distinguished by the breadth of its programs, broad academic excellence, and internationally renowned faculty and alumni. Illinois serves the world by creating knowledge, preparing students for lives of impact, and finding solutions to critical societal needs.
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Ratings and Reviews
Rated 4.2 out of 5 of 79 ratings

Great course that provides a good overview of different clustering approaches and how to deploy them to various problems. I found the lecture material unclear or vague at times, so that for certain topics understanding heavily depends on one diving through the provided reading material (which I found very helpful). However, the topic of evaluation is very dense in the lectures and the provided book chapters do not provide relevant insights as well, making the programming assignment for this part quite challenging (at least if not already deeply familiar already with the concepts involved). Be ready to invest effort to make the most of this.

Very intense and required complex thinking and programming skill

Explained with nice examples

A very good course, it gives me a general idea of how clustering algorithm work.