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In the field of machine learning, feature extraction is one of the most important preprocessing in data classification for its effectiveness, and now it has attracted much extensive attention for large‐scale data stream preprocessing step, especially in the era of big data. Motivated by the advantages of unsupervised and supervised feature extraction, which are two desirable and promising characteristics...
Feature extraction is one of the most basic problems of data stream processing especially in big data era. However, when traditional feature extraction algorithms deal with the big data streams, they are unable to solve the existing big data stream's high-dimensional nonlinear problems. In this paper, we propose a new Semi-Supervised Local Preserving Embedding algorithm(SSLPE), which combines the...
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