DS Intro

DS Clustering

Use of “preceding”

Preceding and Clustering is a technique used to group similar objects or data points together based on their inherent characteristics. 

Clustering is an unsupervised learning technique used to label unlabeled data. 

For example, consider the scenario of data with different car models with their CO2 emission and Price plotted on a scatter plot. 

Preceding If we look carefully at the scatter plot, we can easily see that there are two types of models in the plot. If we use clustering on this data it’ll separate the two clusters as shown in the image below. 

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