Highly comparative time-series analysis with hctsa
  • Information about hctsa
    • Introduction
    • Getting started
    • Publications using hctsa
    • UMAP Projections
    • Related Time-Series Resources
    • List of included code files
    • FAQ
  • Installing and using hctsa
    • General advice and common pitfalls
    • Installing and setting up
      • Structure of the hctsa framework
      • Overview of an hctsa analysis
      • Compiling binaries
    • Running hctsa computations
      • Input files
      • Performing calculations
      • Inspecting errors
      • Working with hctsa files
    • Analyzing and visualizing results
      • Assigning group labels to data
      • Filtering and normalizing
      • Clustering rows and columns
      • Visualizing the data matrix
      • Plotting the time series
      • Low dimensional representation
      • Finding nearest neighbors
      • Investigating specific operations
      • Exploring classification accuracy
      • Finding informative features
      • Interpreting features
      • Comparing to existing features
      • Working with short time series
    • Working with a mySQL database
      • Setting up the mySQL database
      • The database structure
      • Populating the database with time series and operations
      • Adding time series
      • Retrieving from the database
      • Computing operations and writing back to the database
      • Cycling through computations using runscripts
      • Clearing or removing data
      • Retrieving data from the database
      • Error handling and maintenance
Powered by GitBook
On this page

Was this helpful?

Export as PDF
  1. Installing and using hctsa

Installing and setting up

PreviousGeneral advice and common pitfallsNextStructure of the hctsa framework

Last updated 1 year ago

Was this helpful?

The hctsa package can be used completely within Matlab, allowing users to analyse time-series datasets quickly and easily. Here we will focus on this Matlab-based use of the software, but note that, for larger datasets requiring distributed computing set-ups, or datasets that may grow with time, hctsa can also be linked to a mySQL database, as described in .

Installing the hctsa package

The simplest way to get the hctsa package up and running is to run the install script, which adds the required paths to dependent time-series packages (toolboxes), and compiles mex binaries to work on your system architecture. Once this one-off installation step is complete, you're ready to go! (NB: to include additional functions from the TISEAN nonlinear time-series analysis package, you'll also need to ).

After installation, future use of the package can begin by opening Matlab, navigating to the hctsa package, and then loading the paths required by the hctsa package by running the startup script.

a dedicated chapter
compile TISEAN routines