Intel Extension For Scikit-learn: Time Series PCA & DBSCAN
Intel clusters time series data using density-based spatial clustering of applications with noise (DBSCAN) and principal component analysis (PCA) for dimensionality reduction
The Intel Extension for Scikit-learn. Repetitive patterns in time series data are frequently caused by machinery, human behavior, or other quantifiable factors
Using an Intel Extension for Scikit-learn patching scheme, PCA and DBSCAN may both be accelerated. Scikit-learn is a machine learning Python module
One of the AI tools that smoothly speeds up scikit-learn programs on Intel CPUs and GPUs in single- and multi-node configurations is the Intel Extension for Scikit-learn
The Scikit-learn API is used by the Intel Extension for Scikit-learn, which can be enabled via the command line or by changing a few lines in your Python program before importing scikit-learn
The Python module scikit-learn (sklearn) is for machine learning. In single- and multi-node systems, the Intel Extension for Scikit-learn smoothly accelerates Intel CPUs and GPUs