english.cas

Dynamic Clustering Accelerates Neural Networks on Resource-Constrained Platforms

Called Dynamic Clustering for Channel Pruning (DCCP), the method reduced the floating-point operations of ResNet-50 by 68.52% ...
BIOENGINEER

Dual autoencoder framework sharpens single-cell clustering accuracy

A new deep clustering method, scDAEC, combines two autoencoders and multi-head attention to untangle noisy single-cell RNA ...
techtarget

What is clustering in machine learning and how does it work?

Clustering is a data science technique in machine learning that groups similar rows in a data set. After running a clustering technique, a new column appears in the data set to indicate the group each ...