Clustering in Data Mining and Machine Learning - 2. Fuzzy C Means Clustering Algorithm Solved Example Machine Learning DL by Vidya Mahesh Huddar

2. Fuzzy C Means Clustering Algorithm Solved Example Machine Learning Data Mining by Vidya Mahesh Huddar Apply Fuzzy C-Means (FCM) algorithm and find the new cluster centroids for the data is given below: Point x1 x2 x3 x4 x5 f1 1 3 5 7 9 f2 11 8 12 4 6 The number of clusters is 2, and the value of the parameter influencing the membership grade, m, is 2. The initial cluster centers are: 𝑣_1=(5, 5) 𝑎𝑛𝑑 𝑣_2 ​=(10, 10) What is Clustering..? Types of Clustering 1. Hard Clustering 2. Soft Clustering 1. Fuzzy C means clustering Solved example: https://youtu.be/X7co6-U4BJY 2. Fuzzy C means clustering Solved example: https://youtu.be/f3F3knVzJ0U The following concepts are discussed: ______________________________ fuzzy clustering, fuzzy c means clustering solved example, fuzzy c means clustering example, fuzzy c means clustering, fuzzy c means clustering in machine learning, fuzzy c means clusterin in data mining, c means clustering, ******************************** 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