K Means Clustering and Meanshift Analysis for Grouping the Data of Coal Term in Puslitbang tekMIRA
Rolly Maulana Awangga, Syafrial Fachri Pane, Khaera Tunnisa, Iping Supriana Suwardi · TELKOMNIKA (Telecommunication Computing Electronics and Control) · 2018
Indonesian government agencies under the Ministry of Energy and Mineral Resources have problems in classifying data dictionary of coal. This research conduct grouping coal dictionary using K-Means and MeanShift algorithm. K-means algorithm is used to get cluster value on character and word criteria. The last iteration of Euclidian distance calculation data on k-means combine with Meanshift algorithm. The meanshift calculates centroid by selecting different bandwidths. The result of grouping using k-means and meanshift algorithm shows different centroid to find optimum bandwidth value. The data dictionary of this research has sorted in alphabetically.