Description: an intuitive implementation of the k-mean algorithme for data-sets clustering, you have to preprocess your data set as shown in the data.dat and data.dfn befor execute Platform: |
Size: 66560 |
Author:rym |
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Description: 主要介绍在大型数据库中发现知识（Knowledge Discovery in Large Databases, KDD）的各种技术，是专门针对决策支持中的各类问题进行讨论的高端课程。面向对象为软件工程专业硕士研究生。
本课程讲授的主要内容包括：数据预处理、数据仓库及OLAP、概念描述型数据挖掘、关联规则挖掘、分类挖掘和预测以及聚类挖掘，涉及的领域包括数理统计、概率论、机器学习、信息论、集合论等等。-Introduces knowledge discovery in large databases (Knowledge Discovery in Large Databases, of KDD), a variety of technology, specifically for decision support in all kinds of problems discussed in high-end courses. Object-oriented software engineering graduate. This course will include: data preprocessing, data warehousing and OLAP, the concept of descriptive data mining, association rule mining, classification mining and prediction, and clustering mining in the areas of mathematical statistics, probability theory, machine learning, information theory , set theory, and so on. Platform: |
Size: 3781632 |
Author:onlearning |
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Description: 本书籍对数据挖掘的相关算法进行了详细介绍，有关联、分类、聚类算法。(This book on data mining related algorithms are introduced in detail, related, classification, clustering algorithm.) Platform: |
Size: 34206720 |
Author:lovemyid
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Search - clustering in datamining