Complete Machine Learning Course > Unsupervised Learning Algorithms

K-Means Clustering in Machine Learning

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Unsupervised learning algorithm K-Means clustering Unlike supervised learning, there is no labelled data for this grouping. K-Means divides things into clusters based on their similarities and differences with objects in other groups.

They are frequently confused with one another. The 'K' in the K-Means Clustering algorithm is not the same as the 'K' in the KNN algorithm. KNN is a supervised learning method for classification, whereas k-Means Clustering is an unsupervised learning approach for clustering.

The number of clusters into which you want to divide your data points, i.e. the value of K, must be pre-determined in k-means clustering, whereas data is automatically organised into a tree shape form in hierarchical clustering (dendrogram).

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Muhammad Qasim
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Hi Kushal ! Your way of teaching is extremely helpful and you are one of the best teacher in the world. Extremely helpful and I recommend to my peer as well for this course.

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Shafi Akhtar
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None

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Aniket Kumar prasad
5

Very helpful and easy to understand all the concepts, best teacher for learning ML.

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Rishu Shrivastav
5

explained everything in detail. I have a question learnvern provide dataset , and ppt ? or not?

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VIKAS CHOUBEY
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very nicely explained

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Vrushali Kandesar
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Awesome and very nicely explained!!! One importing thing to notify to team is by mistakenly navie's practical has been added under svm lecture and vice versa (Learning Practical 1)

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Mohd Mushraf
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Amazing Teaching

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Juboraj Juboraj
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Easy to understand & explain details.

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Joydeb
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Awesome Course sir and your teaching style is very GOOD.

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Shaga Chandrakanth Goud
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Hi Kushal ji, Thanks a lot for a very good explanation. I have doubts about where we can get the dataset that you explained in the video. Can you make it available in resource ,so that we can downld

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  1. Getting Started with Machine Learning
    4m 4s

  1. Introduction to Machine Learning
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  2. Environment Setup Part 1
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  3. Environment Setup Part 2
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  1. Data Wrangling in Machine Learning
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  17. Assignment : Data Preprocessing for Machine Learning
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  5. KNN in Machine Learning
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    17m 10s
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    11m 35s
  15. Assignment : Regression Algorithms
    1m 12s

  1. Distance Metrics in Machine Learning
    6m 10s
  2. K-Means Clustering in Machine Learning
    11m 3s
  3. K-Means Clustering in Machine Learning - Practical
    9m 49s
  4. Mall Customers Prediction using K Means Clustering in Machine Learning
    18m 3s
  5. Hierarchical Clustering in Machine Learning - Agglomerative , Divisive
    4m 39s
  6. Agglomerative Clustering in Machine Learning - Practical
    4m 45s
  7. Divisive Clustering in Machine Learning - Practical
    14m 42s
  8. DBscan Spatial Clustering in Machine Learning
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  9. Mall Customers Prediction using Hierarchical Clustering in Machine Learning
    19m
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    2m 41s

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  1. Reinforcement Learning Project - Teach a Taxi Part 1
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