Analisis dan Perbandingan Kualitas Pengelompokan Dokumen (Document Clustering) Dengan Menggunakan Metode K-Means Dan K-Medians

Analisis dan Perbandingan Kualitas Pengelompokan Dokumen (Document Clustering) Dengan Menggunakan Metode K-Means Dan K-Medians

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Conducting data analysis on a large set of documents is not an easy task.The common stages are document filtering, document selection, and document clustering.Clustering is a technique used in data mining to find groups of data that do not have a natural grouping.There Water Toy are many clustering algorithm have been introduced, and two of them are K-means and K-medians.Both methods classify documents based on the proximity of words weighting between documents.

This study aims to compare the quality of the clusters produced Magnetic Contact Switch by K-means and K-medians.The results show that K-medians obtain a better cluster quality when compared to K-means.However, it takes more time to cluster.