5 Matching Annotations
  1. Last 7 days
    1. in clustering analyses, standardization may be especially crucial in order to compare similarities between features based on certain distance measures. Another prominent example is the Principal Component Analysis, where we usually prefer standardization over Min-Max scaling, since we are interested in the components that maximize the variance

      Use standardization, not min-max scaling, for clustering and PCA.

  2. Nov 2018
    1. ClusterGAN : Latent Space Clustering in Generative Adversarial Networks


      用 GAN 做聚类的!

  3. Nov 2017
  4. Dec 2016