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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Suresh Kumar
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Hi Sir,
I want a clearity up on these
1. To learn Data Science "Machine learning" is part of it but we have to learn additionally python libraries (panda, numpy, matplotlib) or else in ML enough.
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Ayush Bharti
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how can i download the finaldata.csv?
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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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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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