6 Matching Annotations
  1. Jul 2019
    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. Jun 2019
  3. varsellcm.r-forge.r-project.org varsellcm.r-forge.r-project.org
    1. missing values are managed, without any pre-processing, by the model used to cluster with the assumption that values are missing completely at random.

      VarSelLCM package

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

      貌似结果效果很惊艳<del>~</del>~!

      用 GAN 做聚类的!

  5. Nov 2017
  6. Dec 2016