A lightweight Python package that extends scikit-learn's clustering ecosystem with additional algorithms and utilities. Features sklearn-compatible wrappers for Fuzzy C-Means, Faiss-based clustering, ...
Abstract: Large amount of redundancy is widely present in convolutional neural networks (CNNs). Identifying the redundancy in the network and removing the redundant filters is an effective way to ...
Near-infrared (NIR) narrowband photodetectors, featuring high sensitivity, excellent wavelength selectivity, and narrow full width at half-maximum (fwhm), enable efficient detection of specific NIR ...
Abstract: Due to the excellent performance of spectral clustering (SC), it has been widely used in many fields of application. However, the high computational complexity and two successive steps have ...
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