What are the Common Data Analysis Algorithms Used?
Several data analysis algorithms are pivotal in the context of catalysis. Some of the most common include:
Principal Component Analysis (PCA): Used for dimensionality reduction and to identify the most significant variables in the data set. K-means Clustering: Helps in grouping similar data points, which can be useful to classify different types of catalysts or reaction conditions. Regression Analysis: Employs linear or non-linear models to predict outcomes and understand relationships between variables. Machine Learning Algorithms: Including Random Forest, Support Vector Machines (SVM), and Neural Networks for predictive modeling and pattern recognition. Fourier Transform Infrared Spectroscopy (FTIR) Analysis: For identifying chemical species and monitoring reaction progress in real-time.
