...

/

K-Means Clustering Implementation Steps: 1 to 3

K-Means Clustering Implementation Steps: 1 to 3

We will learn how to reduce dimensions and become familiar with the implementation steps (1-3) of the k-means clustering.

Quick overview of k-means clustering

Another popular technique to reduce data complexity is k-means clustering, which identifies groups of data points without prior knowledge of existing classes.

K-means clustering splits the dataset into k number of clusters, with k representing the number of clusters. Setting k to “3,” for example, splits the data into three clusters.

Each ...