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recipes
Pipeable steps for feature engineering and data preprocessing to prepare for modeling (by tidymodels)
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
As others have stated, K-means can be used for feature-engineering/dimensionality reduction. More specifically, you can cluster features (columns) and average features that belong to the same cluster or cluster samples (rows) and compute distances between the original data and the generated clusters. You can use these but they're rarely seen and honestly you're better off using more standard approaches such as PCA.
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