The Mastering Mathematics Training Prep Bundle

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10 Courses & 96 Hours
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What's Included

Master Clustering Analysis for Data Science Using MATLAB
  • Certification included
  • Experience level required: All levels
  • Access 26 lectures & 4 hours of content 24/7
  • Length of time users can access this course: Lifetime

Course Curriculum

26 Lessons (4h)

  • Your First Program
  • Course Introduction
    Introduction to the course4:07
    Code and Data used in the course
  • Kmeans Clustering
    1 - KMeans intuition12:18
    2 - Choosing the right number of clusters15:35
    3 - KMeans in MATLAB (Part 1)21:15
    4 - KMeans in MATLAB (Part 2)12:57
    5 - KMeans Limitations - (Part 1-Clusters with different sizes)10:30
    6 - KMeans Limitations - (Part-2-Clusters with non spherical shapes)9:33
    7 - KMeans Limitations - (Part 3-Clusters with varying densities)5:33
  • Mean Shift Clustering
    1 - Intuition of Mean Shift9:23
    2 - Mean Shift in Python10:46
    3 - Mean Shift Performance in Cases where Kmean Fails (Part 1)7:17
    4 - Mean Shift Performance in Cases where Kmean Fails (Part 2)12:21
  • DBSCAN Clustering
    1 - Intuition of DBSCAN_DF9:21
    2 - DBSCAN in matlab_DF114:39
    3 - DBSCAN on clusters with varying sizes7:03
    4 - DBSCAN on clusters with different shapes and densities10:57
    5 - DBSCAN for handling noise7:14
    6 - Practical Activity
  • Hierarchical Clustering
    1 - Hierarchical Clustering Intuition (Part 1)_DF9:50
    2 - Hierarchical Clustering Intuition (Part 2)_DF15:47
    3 - Hierarchical Clustering in Matlab12:21
  • Applications of Clustering
    1 - Image Compression (Part 1)12:43
    2 - Image Compression (Part 2)7:29
    3 - Clustering sentences (Part 1)14:08
    4 - Clustering sentences (Part 2)11:02

Master Clustering Analysis for Data Science Using MATLAB

Nouman Azam

Nouman Azam | MATLAB Professor

4.4/5 Instructor Rating: ★ ★ ★ ★

Nouman Azam received his Ph.D. Degree in Computer Science from the University of Regina in 2014. Prior to that, he completed his M.Sc. in Computer Software Engineering from the National University of Sciences and Technology, Pakistan, and Bachelor's in Computer Sciences from National University of Computer and Emerging Sciences, Pakistan in 2007 and 2005, respectively

Nouman has over 10 years of teaching experience. He has taught almost all the major computer science subjects including introduction to computers, computer organization and architecture, operation systems, computer networks, image processing, digital logic design, discrete structures and many others. He has extensive knowledge of tools such as MATLAB, QTSpim, C++, Java and Other academic tools used for teaching and instructing purposes.


Fully equip yourself with the art of applied machine learning using MATLAB. This course is also for you if you want to apply the most commonly used data preprocessing techniques without having to learn all the complicated maths. Additionally, this course is also for you if you have had previous hours and hours of machine learning implementation but could never figure out how to further improve the performance of the machine learning algorithms. By the end of this course, you will have at your fingertips, a vast variety of most commonly used data preprocessing techniques that you can use instantly to maximize your insight into your data set.

4.5/5 average rating: ★ ★ ★ ★

  • Access 26 lectures & 4 hours of content 24/7
  • Implement different machine learning classification algorithms using MATLAB
  • Process data before analysis
  • Know when & how to use dimensionality reduction
  • Take away code templates
  • See visualization results of algorithms
  • Decide which algorithm to choose for your dataset


Important Details

  • Length of time users can access this course: lifetime
  • Access options: desktop & mobile
  • Certificate of completion included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Updates included
  • Experience level required: all levels


  • MATLAB 2017a or higher version. No prior knowledge of MATLAB is required


  • Unredeemed licenses can be returned for store credit within 30 days of purchase. Once your license is redeemed, all sales are final.
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