教師なし学習
1. Unsupervised learningIn machine learning, unsupervised learning refers to the problem of trying to find hidden structure in unlabeled data. Since the examples given to the learner are unlabeled, there is no error or reward signal to evaluate a potential solution. This distinguishes unsupervised learning from supervised learning and reinforcement learning. Unsupervised learning is closely related to the problem of density estimation in statistics.
Read “Unsupervised learning” on English Wikipedia
Read “教師なし学習” on Japanese Wikipedia
Read “Unsupervised learning” on DBpedia
Read “Unsupervised learning” on English Wikipedia
Read “教師なし学習” on Japanese Wikipedia
Read “Unsupervised learning” on DBpedia
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