The weighted k-NN classification algorithm has received increased attention recently for two reasons. First, by using neural autoencoding, k-NN can deal with mixed numeric and non-numeric predictor ...

Customer value analysis is an important work in customer relationship management. In this paper, we use ABC classification, RFM (Recency, Frequency, Monetary) model and K-means clustering method to ...

Sleep Classification with Python – EEG, Sklearn and MNE – Part 1. Posted: May 16, 2025 | Last updated: May 16, 2025. Learn how to classify sleep stages using EEG data with Python, MNE, ...

Weighted k-NN Classification Using Python. By James McCaffrey; 04/10/2019; The weighted k-nearest neighbors (k-NN) classification algorithm is a relatively simple technique to predict the class of an ...