Clustering Algorithms Used in Data Mining用于数据挖掘的聚类算法 Jiang Yuan,Zhang Zhao-yang,Qiu Pei-liang,Zhou Dong-fang,姜园,张朝阳,仇佩亮,周东方 Keywords: K-Means数据挖掘,聚类,分层聚类,分割聚类 Full-Text Cite this paper Add to My Lib Abstract: Data mining is used to draw interesting in...
freestats: Statistical algorithms used in common data mining courseXiaoyao Yang
the particular implementation of K-means clustering used in SQL Server Data Mining was developed by Microsoft Research and then optimized for performance with SQL Server Analysis Services. All of the Microsoft data mining algorithms can be extensively customized and are fully programmable, using the pr...
This paper claims that a new field of empirical software engineering research and practice is emerging: data mining using/used-by optimizers for empirical studies, orDUO. For example, data miners can generate models that are explored by optimizers. Also, optimizers can advise how to best adjust ...
This book presents a collection of data-mining algorithms that are effective in a wide variety of prediction and classification applications. All algorithms include an intuitive explanation of operation, essential equations, references to more rigorous theory, and commented C++ source code.Many of these...
Chapter4introduces the theoretical framework of learning in ob-servational environment.Chapters5–11provide an overview of com-monly used approaches of data mining techniques such as statistical in-ference,clustering,logic-based techniques,association rules,web and text mining techniques,artificial neural ...
Wavelettransformhas beenusedforpitchdetectioninreal time.andtwoalgorithms(multi-scaleandsinglescale) arecompared. 小波变换用来实时提取基音,并对比了多尺度和单一尺度两种算法。 cnki.hljlib.cn 3. Localoptimizingalgorithmsareeasytofall intothelocalsupremevalueonthemedicalimagesregistration. ...
Where is it used?A popular open-source Java implementation can be found over atOpenTox.Orange, an open-source data visualization and analysis tool for data mining, implements C4.5 in their decision tree classifier. Classifiers are great, but make sure to checkout the next algorithm about cluste...
The paper proposes an improved GA-BP mix algorithms according to feature of GA global optimization and advantage of improving convergence speed when used additive momentum and adaptive learning in BP algorithm and then used in data mining on timber price prediction. The results show that it can ...
Classification is one of the most common methods used in data mining. It divides data into classes and allows one to organize different kinds of data, from complex data to simple data. Classification is one of the supervised learning methods in data mining. The main goal of classification is ...