The former belongs to supervised learning and the latter belongs to unsupervised learning 它们分属于有监督学习与无监督学习。
The distinct difference between supervised learning and unsupervised learning lies in whether the example consists of the pre - processed output value 这两种方法最大的区别就在于学习样本是否包含有预先规定好的输出值。
Decision theory , statistical classification , maximum likelihood and bayesian estimation , non - parametric methods , unsupervised learning and clustering 决策理论,统计分类,最大似然和贝叶斯估计,非参数方法,非监督的学习与聚类。
Due to its unsupervised learning ability , clustering has been widely used in numerous applications , such as pattern recognition , image processing , market research and so on 聚类具有无监督学习能力,被广泛应用于多个领域中,如模式识别、数据分析、图像处理以及市场调研等。
In 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.