[02191] Analysis Seismic Data in Sumatra Using Robust Sparse K-Means Clustering
Session Time & Room : 3E (Aug.23, 17:40-19:20) @E501
Type : Contributed Talk
Abstract : K-means algorithm is considered to be the most important unsupervised machine learning method in clustering. It works intimately on complete and clear data but cannot handle outliers. Therefore, robust statistical algorithms are required to deal with it. This paper presents robust sparse k-means algorithm to show clustering of seismic data in Sumatra. Clustering results are displayed graphically for two, three and four clusters to see the zones formed based on the grouping results.
