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Keyword Clustering with R and K-Means by JACOB RACHUONYO is a document available to read on EtoBox.

What is Keyword Clustering with R and K-Means about?

- The document discusses using k-means clustering in R to automatically classify keywords from a CSV file into topics. - It explains the requirements, how to read in the data and prepare the text for clustering by creating a document term matrix and cleaning the corpus. - The elbow method is used to determine the optimal number of clusters k by computing the variance as clusters are added and visualizing the results in a graph to identify the breakpoint.

Author

JACOB RACHUONYO

Language

EN