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/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.
We'll cover the following...
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 ...