Time series labeling algorithms based on the K-nearest neighbors' frequencies

► New time series labeling algorithms based on clustering are proposed. ► The K-NN rule is applied to smooth the volatility of series. ► The algorithms decrease error magnitudes in statistically with α = 0.05.