지도 vs 비지도 학습

Supervised learning(classification)

  - The training data(observations, measurements, etc.) are accompanied by labels indicating the class of the observations

  - New data(unlabeled data) is classified based on the training set

Unsupervised learning(clustering)

  - The class labels of training data is unknown

  - Given a set of measurements, observations, etc. with the aim of establishing the existence of classes or clusters in the data

  - Group the data based on some similarity or distance measure