Cluster Analysis

 

 


 

Customize your search:

E.g., 2017-07-21
E.g., 2017-07-21
E.g., 2017-07-21
Cluster Analysis in Data Mining (Coursera)
Jul 24th 2017
University of Illinois at Urbana-Champaign
Coursera
English

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.

Average: 7.2 (5 votes)
Data Science, Statistics & Data Analysis
Data Mining, Cluster Analysis, Clustering
More Info
 
 

 

Subscribe to our mailing list

 

 


 
 




 

Search job offers

Search on popular job posting sites at once with just one search or browse jobs by category or location.

Find jobs by keyword or location

Find jobs on IT

Jobs from Indeed
 

Find MOOCs By

Multiple Criteria
Self-Paced MOOCs
MOOC List Coupon Discount
Providers and Categories
University / Entity
Instructor
Country
Language
Type of Certificate
Tag

About MOOC List

“MOOC List” is an aggregator (directory) of Massive Open Online Courses (MOOCs) from different providers.

For more information please see our FAQs.

Terms / Privacy Policy | Contact Us
 

What is a MOOC?

  • MOOC stands for a Massive Open Online Course.
  • It is an online course aimed at large-scale participation and open (free) access via the internet.
  • They are similar to university courses, but do not tend to offer academic credit.
  • A number of web-based platforms (providers Aka initiatives) supported by top universities and colleges offer MOOCs in a wide range of subjects.

How to Be a Successful MOOC Student

MOOCs – Massive Open Online Courses – enable students around the world to take university courses online. This guide, by the instructors of edX’s most successful MOOC in 2013-2014, Principles of Written English (based on both enrollments and rate of completion), advises current and future students how to get the most out of their online study, covering areas such as what types of courses are offered and who offers them, what resources students need, how to register, how to work effectively with other students, how to interact with professors and staff, and how to handle assignments. This second edition offers a new chapter on how to stay motivated. This book is suitable for both native and non-native speakers of English, and is applicable to MOOC classes on any subject (and indeed, for just about any type of online study).
 

Latest Tweets

Follow Us to Receive Notifications