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- GAUSS分布导引，PDF格式 对学习数据挖掘、机器学习、人工神经网络很有帮助-CLASS distribution guidance, in PDF format for learning data mining, machine learning, artificial neural network helpful
FCMClust
- 模糊聚类分析作为无监督机器学习的主要技术之一，是用模糊理论对重要数据分析和建模的方法，建立了样本类属的不确定性描述，能比较客观地反映现实世界，它已经有效地应用在大规模数据分析、数据挖掘、矢量量化、图像分割、模式识别等领域，具有重要的理论与实际应用价值，随着应用的深入发展，模糊聚类算法的研究不断丰富-Unsupervised fuzzy clustering analysis as the main machine learning techniques is the use of fuzzy t
DataSet
- 这是在机器学习、人工智能、数据挖掘中经常用到的数据集，聚类分析也经常用，包括：UCI的数据集wine,yeast,iris等，还有USPS数据集，4k2_far,leuk72_3k数据集等。-This is in machine learning, artificial intelligence, data mining frequently used data sets, cluster analysis are often used, including: UCI datasets wine
KNN
- 数据挖掘中的经典算法，机器学习领域常用的KNN临近学习算法，可用于文本向量分类等用途。-Classical data mining algorithms, machine learning algorithms commonly used KNN approaching learning can be used for text vector classification purposes.
NNapplication
- 数据挖掘经典算法之一，KNN临近算法。可用于机器学习领域的文本向量分类等用途。-One of the classical data mining algorithms, KNN algorithm approaching. Can be used for text vector machine learning classification purposes.
Hands_on_ML
- 很棒的入门向机器学习/数据科学的图书，基于scikit learn和TensorFlow库，手把手叫你如何上手机器学习，如何做数据挖掘。(the Best seller In American Amazon. With this book, you can learn a lot about how to use sklean and Tensorflow, in addition, you can have a practical understanding on the whole mach
CART
- 对汽车评估的分类决策树构建,使用了常用的python的机器学习库scikit-learn(Construction of classified decision tree for automobile evaluation,Use the common Python's machine learning library scikit-learn)