22.2 How to Apply K-Means Clustering Algorithm
Suppose we have 8 data points on a graph.Our goal is to group these points into clusters using the K-Means algorithm. Step 1: Choose the Number of Clusters (K) First, we decide how many clusters we

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Articles tagged with #classification
Suppose we have 8 data points on a graph.Our goal is to group these points into clusters using the K-Means algorithm. Step 1: Choose the Number of Clusters (K) First, we decide how many clusters we

Introduction to Cluster Have you ever noticed that customers in a mall don’t behave the same?”Some people earn high salary but spend less,some earn less but spend more,and some are in between. Can we

Numerical example of decision tree using ID3Suppose, we have, 2 featuresFeature 1,(Feature = F1)Feature ExplanationRoot Node:Feature → 9 Yes / 5 No First Split (C1):6 Yes / 2 No → More pure node

ID3 (Iterative Dichotomiser 3) is a popular algorithm used to construct a decision tree for classification problems. It selects the best attribute for splitting the data based on Information Gain, whi

Have you ever noticed that your life already runs on a decision tree? If it’s raining → take an umbrella Else if it’s sunny → take sunglasses Else → just pray and go out Congratulations! You just
