May 2018
Beginner to intermediate
384 pages
10h 19m
English
book
Artificial Intelligence for Big Data
by Anand Deshpande, Manish Kumar, Albenzo Coletta, Giancarlo Zaccone
Content preview from Artificial Intelligence for Big Data
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The K-means algorithm
K-means is one of the most popular unsupervised algorithms for data clustering, which is used when we have unlabeled data without defined categories or groups. The number of clusters is represented by the k variable. This is an iterative algorithm that assigns the data points to a specific cluster based on the distance from the arbitrary centroid. During the first iteration, the centroids are randomly defined and the data points are assigned to the cluster based on the least vicinity from the centroid. Once the data points are allocated, within the subsequent iterations, the centroids are realigned to the mean of the data points and the data points are once again added to the clusters based on the least vicinity from ...
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