Machine Learning_Day 13
Limitations of K-means Clustering Algorithm
- Since random centroids are drawn and used, the shape of the result may continue to change.
- The distances between the selected initial centroids may be too close to be classified well enough.
-> The algorithm that came out to make up for these shortcomings is K-Means++ Algorithm.
- K-Means Plus Plus Algorithm strategically picks a one centroid first and then picks the farthest point from the first picked centroid after calculating the distances to every points.
Matplotlib
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Numpy, Matplotlib are the two most important libraries in Python when it comes to Machine Learning since it's data-dealing-related field.
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matplotlib: is used for Visualization
- "dir"
when you want to check the value: get
what data you're gonna assign to: set
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Always use dir to check what Attributes this function you're using have first
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A glimpse of today's practice dealing with matplotlib
