Clustering in Data Mining and Machine Learning - #2. Wards Clustering Solved Example | Hierarchical Clustering Linkage Clustering Vidya Mahesh Huddar

#2. Wards Clustering Solved Example | Hierarchical Clustering | Linkage Clustering Vidya Mahesh Huddar Wards Clustering Solved Example 1: https://youtu.be/TyHwiXkB-Ps Wards Clustering Solved Example 2: https://youtu.be/swAzn0PWkJY Apply Wards method of clustering algorithm to cluster the following data points. Data Points: 𝑋1: (1, 1), 𝑋2: (2, 1), 𝑋3: (4, 2), 𝑋4: (5, 3) & 𝑋5: (4, 4) Also, draw the dendrogram. Hierarchical clustering is a popular unsupervised learning technique used to group similar data points. In particular, Ward’s Method is a bottom-up approach where we begin by treating each point as its own cluster and then merge clusters in a way that minimizes the increase in total within-cluster variance. ******************************** Follow Us on: 1. Blog / Website: https://www.vtupulse.com/ 2. Download Final Year Project Source Code: https://vtupulse.com/download-final-year-projects/ 3. Like Facebook Page: https://www.facebook.com/VTUPulse 4. Follow us on Instagram: https://www.instagram.com/vtupulse/ 5. Like, Share, Subscribe, and Don't forget to press the bell ICON for regular updates