Semi-supervised Classification: Cluster and Label Approach using Particle Swarm Optimization

3 Jun 2017Shahira Shaaban AzabMohamed Farouk Abdel HadyHesham Ahmed Hefny

Classification predicts classes of objects using the knowledge learned during the training phase. This process requires learning from labeled samples... (read more)

PDF Abstract

Code


No code implementations yet. Submit your code now

Tasks


Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper


METHOD TYPE
🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet