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We show that a simple single-pass semi-streaming variant of the Pivotalgorithm for Correlation Clustering gives a (3 + {\epsilon})-approximationusing O(n/{\epsilon}) words of memory. This is a slight improvement over therecent results of Cambus, Kuhn, Lindy, Pai, and Uitto, who gave a (3 +{\epsilon})-approximation using O(n log n) words of memory, and Behnezhad,Charikar, Ma, and Tan, who gave a 5-approximation using O(n) words of memory.One of the main contributions of this paper is that both the algorithm and itsanalysis are very simple, and also the algorithm is easy to implement.

Single-Pass Pivot Algorithm for Correlation Clustering. Keep it simple!