The K-means algorithm is an indirect clustering algorithm based on comparability measurement between points.This paper studies and explores the application of K-means clustering algorithm to lithofacies identification. Mahalanobis distance replaces Euclidean distance as the distance of points.KEY WORDS lithofacies identification,logging,k-means clustering
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