Several algorithms are pivotal in automated pattern recognition for nanotechnology:
1. Support Vector Machines (SVMs) - These are used for classification and regression analysis, especially in distinguishing between different types of nanoparticles. 2. Neural Networks - Particularly Convolutional Neural Networks (CNNs), which are effective for image recognition tasks such as analyzing electron microscopy images. 3. Clustering Algorithms - Methods like k-means clustering help in grouping similar data points, which is useful for categorizing different nanostructures.
