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A Time Series Clustering Technique based on Community Detection in Networks
2015
Procedia Computer Science
Time series clustering is a research topic of practical importance in temporal data mining. The goal is to identify groups of similar time series in a data base. In this paper, we propose a technique for time series clustering via community detection in complex networks. First, we construct a network where every vertex represents a time series connected its most similar ones,. Similarity was calculated using different time series distance functions. Then, we applied a community detection
doi:10.1016/j.procs.2015.07.293
fatcat:lt5ni3qkbvfdfmkhsqgmftpw74