Time Series Clustering Based on the K-Means Algorithm
Oleg Kobylin, Vyacheslav Lyashenko
Abstract
Time series is one of the forms of data presentation that is used in many studies. It is convenient, easy and informative. Clustering is one of the tasks of data processing. Thus, the most relevant currently are methods for clustering time series. Clustering time series data aims to create clusters with high similarity within a cluster and low similarity between clusters. This work is devoted to clustering time series. Various methods of time series clustering are considered. Examples are given for real data.
Topics & Concepts
Cluster analysisSeries (stratigraphy)Computer scienceCURE data clustering algorithmCorrelation clusteringSingle-linkage clusteringData stream clusteringData miningFuzzy clusteringSimilarity (geometry)Canopy clustering algorithmAlgorithmPattern recognition (psychology)Artificial intelligencePaleontologyBiologyImage (mathematics)Advanced Data Processing TechniquesAdvanced Scientific Research MethodsAdvanced Computational Techniques in Science and Engineering