Centroid Neural Network: An Efficient and Stable Clustering Algorithm

Generally, clustering is grouping multi-dimensional datasets into closely related groups. Classical representatives of clustering algorithms are K-means Clustering and Self-Organizing Map (SOM). You can easily find numerous resources for those algorithm explanations. This time, let me introduce to all of you another efficient clustering algorithm but seemingly no many researchers pay attention: Centroid Neural Network for Unsupervised Competitive Learning. Please click here to have a closer looking at the original paper.