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K-Means Clustering Algorithm Implementation in Python
source link: https://www.geeksforgeeks.org/videos/k-means-clustering-algorithm-implementation-in-python/
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K-Means Clustering Algorithm Implementation in Python
K-Means Clustering Algorithm Implementation in Python
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- 14/07/2022
<p><span style="color:#000000;">K-Means clustering is an unsupervised machine learning algorithm that divides the unlabeled dataset into various clusters. </span><br><span style="color:#000000;">We are given a list of things with particular attributes and values for these features (like a vector). It is the goal to group the products into categories. </span><br><br><span style="color:#000000;">To accomplish this, we will employ the K-means algorithm, a method for unsupervised learning. The letter "K" in the algorithm's name denotes how many groups or clusters we want to separate our items into. In this video, we are going to implement parts of K-Means Clustering using Python.</span><br><br>The following steps are involved:<br><br>1) Importing required libraries<br>2) Importing datasets<br>3) Performing data preprocessing<br>4) Check for null values<br>5) Delete all the missing values<br>6) Data visualization<br>7) Visualization of correlation matrix using the heatmap<br>8) Normalization of the given datasets using MinMaxScaller<br>9) Performing K-means<br>10) Model evaluation<br> </p>
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