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Multiview Unsupervised Shapelet Learning for Multivariate Time Series Clustering
Python implementation of the Learning Time-Series Shapelets method, that learns a shapelet-based time-series classifier with gradient descent.
NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO
NumPy-based constrained Dynamic Time Warping (cDTW) module
Polynomial Regression, Spline Regression and Linear Regression
Statsmodels: statistical modeling and econometrics in Python
Script para decomposição de série temporal Observações sobre séries temporais: Uma série temporal consiste em um conjunto de observações ordenadas no tempo sobre um determinado fenômeno (variável-a…
Unofficial Implementation of RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series (AAAI 2019)
Trend and Variable-Phase Seasonality Estimation from Functional Data
This project implements various time series models such as AR, MA, ARMA and also deals with trends and seasonality of the data.
RShiny app to upload and analyze trend and seasonality of transit ridership data
An easy implement of VGG19 with tensorflow, which has a detailed explanation.
Use NMI and Jaccard similarity coefficient to do clustering validation of given clusters.
K-Means, DBSCAN, Hierarchical Agglomerative Clustering
Matlab code for Ensemble Clustering Using Factor Graph (ECFG) (Pattern Recognition 2016)