Capstone project for Galvanize Data Science Immersive Program
-
Updated
Apr 6, 2017
Capstone project for Galvanize Data Science Immersive Program
Unsupervised ensemble learning methods for time series forecasting. Bootstrap aggregating (bagging) for double-seasonal time series forecasting and its ensembles.
Clustering-based Forecasting Method for Individual End-consumer Electricity Consumption Using Smart Grid Data
Clustering and segmentation of heteregeneous functional data (sequential data) by mixture of gaussian Hidden Markov Models (MixFHMMs) and the EM algorithm
Clustering and segmentation of heterogeneous functional data (sequential data) with regime changes by mixture of Hidden Markov Model Regressions (MixFHMMR) and the EM algorithm
Density-based clustering unsupervised ensemble learning methods for forecasting double seasonal time series
Clustering Bike Share Toronto time series data to identify temporal behavioural motifs.
Different deep learning architectures are implemented for time series classification and prediction purposes.
Code used in the paper "Time Series Clustering via Community Detection in Networks"
StAtistical Models for the UnsupeRvised segmentAion of tIme-Series
TSrepr: R package for time series representations
A clustering algorithm that will perform clustering on each of a time-series of discrete datasets, and explicitly track the evolution of clusters over time.
COVID-19 spread shiny dashboard with a forecasting model, countries' trajectories graphs, and cluster analysis tools
Time Series Clustering using Hierarchical Clustering (Agglomerative and Divisive)
2018 UCR Time-Series Archive: Backward Compatibility, Missing Values, and Varying Lengths
This repo is made to showcase my dissertation project in Msc Smart Systems Engineering programme, Newcastle University
Predicting NFL play yardage from autoencoded player tracking data (2019)
A visualization support tool for advanced hierarchical clustering analysis. MLCut allows cutting dendrograms at multiple heights/levels. In other words, it allows to set multiple local similarity thresholds in potentially large dendrograms. It uses two coordinated views, one for the dentrogram (radial layout), and another for the original multid…
Research Project on "Time Series Analysis and Forecasting"
Add a description, image, and links to the time-series-clustering topic page so that developers can more easily learn about it.
To associate your repository with the time-series-clustering topic, visit your repo's landing page and select "manage topics."