Back to Star-Embed

Hand-Crafted Features

Traditional Feature Engineering for Time Series

Classic Approach

Approach

Domain-specific feature engineering and statistical measures

Methodology

Traditional time series feature extraction techniques

Implementation

Custom feature extraction pipeline

Features

Statistical and frequency domain features

View Project Project Repository Download Data

Method Overview

Hand-crafted features represent the traditional approach to time series analysis, using domain expertise and statistical methods to extract meaningful features from light curves. This baseline method provides interpretable features that capture key characteristics of astronomical time series.

Feature Categories

  • Statistical Features: Mean, variance, skewness, kurtosis, and higher-order moments
  • Frequency Domain: Power spectral density, dominant frequencies, and harmonics
  • Time Domain: Autocorrelation, periodicity measures, and trend analysis
  • Astronomical Specific: Light curve morphology and variability indices

Technical Details

  • Approach Feature Engineering
  • Input Type Light Curves
  • Output Features
  • Domain Astronomy
  • Method Traditional
  • Interpretability High

Feature Clustering Visualization

UMAP visualization showing how hand-crafted features cluster different types of astronomical objects

Hand-Crafted Features UMAP Visualization UMAP Legend

Each point represents a light curve with hand-crafted features, with colors indicating different astronomical object types