Recently, the robust continuous clustering (RCC) has been proposed for unsupervised data classification. The RCC algorithm integrates representation learning and clustering by seeking the balance of ...

For example, line graphs lose clarity if they have too many data points. ... this variable is time. A non-continuous data set (i.e., the number of animals at the 10 largest zoos in the world) ...

Recently, the robust continuous clustering (RCC) has been proposed for unsupervised data classification. The RCC algorithm integrates representation learning and clustering by seeking the balance of ...