Course curriculum

    1. Course introduction

    1. KMeans intuition

    2. Choosing the right number of clusters

    3. KMeans in MATLAB (Part 1)

    4. KMeans in MATLAB (Part 2)

    5. KMeans Limitations - (Part 1-Clusters with different sizes)

    6. KMeans Limitations - (Part-2-Clusters with non spherical shapes)

    7. KMeans Limitations - (Part 3-Clusters with varying densities)

    1. Intuition of Mean Shift

    2. Mean Shift in Python

    3. Mean Shift Performance in Cases where Kmean Fails (Part 1)

    4. Mean Shift Performance in Cases where Kmean Fails (Part 2)

    1. Intuition of DBSCAN

    2. DBSCAN in MATLAB

    3. DBSCAN on clusters with varying sizes

    4. DBSCAN on clusters with different shapes and densities

    5. DBSCAN for handling noise

    6. Practical Activity

    1. Hierarchical Clustering Intuition (Part 1)

    2. Hierarchical Clustering Intuition (Part 2)

    3. Hierarchical Clustering in MATLAB

    1. Image Compression (Part 1)

    2. Image Compression (Part 2)

    3. Clustering sentences (Part 1)

    4. Clustering sentences (Part 2)

About this course

  • $9.99
  • 25 lessons
  • 4.5 hours of video content

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