K Means Clustering Algorithm in Machine Learning
K Means Clustering Algorithm in Machine Learning
Mar 19, 2018
simplilearn.com
What Does K-Means Clustering Mean? K-means clustering is a simple unsupervised learning algorithm that is used to solve clustering problems. It follows a simple procedure of classifying a given data set into a number of clusters, defined by the letter "k," which is fixed beforehand. Four steps of the algorithm: 1. K points are placed into the object data space representing the initial group of centroids 2. Each object or data point is assigned into the closest k 3. After all objects are assigned
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SOLVED: Assume, you want to cluster 7 observations into 3 clusters using K-Means clustering algorithm. After first iteration clusters, C1, C2, C3 has following observations:C1: (2,2), (4,4), (6,6)C2: (0,4), (4,0)C3: (5,5), (9,9)What will be the cluster centroids if you want to proceed for second iteration?
SOLVED: Assume, you want to cluster 7 observations into 3 clust…
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