Day 26 of the #50daysofcode Challenge with Featurepreneur.
Heading back to ML, these were the things I learned today:
* Clustering and Centroid-based clustering
Clustering is a Machine Learning technique that groups the data into related groups or clusters if you will.
Centroid-based clustering is the process of clustering using centroids to denote the center of each cluster.
Clipping is a process to get rid of outliers, you know the values that stick out like sore thumbs. For a range of values that exist, the values lower than the range are replaced with the lower limit, and values higher than the range are replaced with the higher limit.
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