Neural Network Application. Iris Dataset and Wine Dataset.

利用k-means对UCI数据集进行聚类分析，程序中列举了数据集wine和heart数据集-Using the k- means cluster analysis was carried out on the UCI dataset, listed in the program data collection of wine and heart of data sets

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

利用粗糙模糊集聚类(RFCM)思想的聚类方法对UCI数据集中的Wine进行聚类分析。Wine数据集共包含13个属性，其中第一个是决策属性，剩下的是连续型的条件属性，一共包含178个对象。-Fuzzy clustering method using rough clustering (RFCM) thoughts on UCI Wine dataset cluster analysis. Wine data set contains a total of 13 properties, of whi