搜索资源列表
SVM
- 在机器学习领域，支持向量机SVM(Support Vector Machine）是一个有监督的学习模型，通常用来进行模式识别、分类、以及回归分析。-In the field of machine learning, support vector machine SVM (Support Vector Machine) is a supervised learning model, typically used for pattern recognition, classification, an
K_CenterPoint_PAM
- k中心点算法，也就是PAM算法。是数据挖掘中聚类分析的一种手段，用途广泛。-k center algorithm, i.e. PAM algorithm. Data mining is a means of cluster analysis, and versatile.
PCA
- 主元分析算法的matlab实现，可实现数据降温处理，模块完整，可直接应用。-Principal component analysis
ems
- 建模优化与评价的理论基础学习，用于统计分析和数据挖掘-Based learning theory and modeling optimization and uation for statistical analysis and data mining
stft
- 利用时频分析的方法分析一段语音信号的时频特征，并进行降采样等处理，可直接运行-When the time-frequency analysis method to analyze the frequency of use of a voice signal characteristics, and down-sampling and other treatment, can be directly run
programs-and-data
- 通过KNN分类法，根据酒的某些性状信息对酒进行分类。然后，通过交叉验证对分类结果进行测试。最后，对数据进行主成分分析，再进行分类。-By KNN classification, according to certain traits information wine wine classification. Then, through cross-validation of the classification tested. Finally, principal component analy
word2vec
- word2vec 实现词向量生成，用于自然语言分析，数据挖掘，人工智能等-word2vec achieve word vector generation for natural language analysis, data mining and artificial intelligence. . . . .
wine
- 基于Wine数据集的数据分析报告 R语言+实验结果文档-data analysis based on wine
brain-tumor
- K-Means for brain tumor analysis
VAR
- 时域模态分析方法中的多元自回归模型，用于识别结构的模态参数。-Multivariate autoregressive model of time domain modal analysis method, is used to identify structural modal parameters.
pattern-identification
- 主成分分析、Fisher判别法与支持向量机在模式识别中的应用-Application of principal component analysis, Fisher discriminant analysis and support vector machine in pattern recognition
SAP_HANA_pdf
- HANA是一个软硬件结合体，提供高性能的数据查询功能，用户可以直接对大量实时业务数据进行查询和分析，而不需要对业务数据进行建模、聚合。-HANA is a combination of hardware and software to provide high-performance data query capabilities, users can perform a large number of real-time business data query and analysis dir
pls
- 数据建模分析，适合光谱，股票等建模分析，预测样品-For modeling and analysis，For modeling and analysis
Apriro
- java 关联关系分析 apriro算法源代码 很好-java association analysis algorithm source code well apriro
Desktop
- K均值聚类算法，对风电机组功率数据进行聚类分析，包括详细的程序说明。 只要把这两个文件放入一个空文件夹下，在MATLAB中执行m文件，就可得到聚类结果。-K-means clustering algorithm, the wind turbine power data clustering analysis, including a detailed descr iption of the procedures. As long as these two files into an empt
CodeGPCAPDASpectral
- 广义主成分聚类，用于高维数据降维聚类分析，比主成分分析更好一点-Generalized principal component clustering analysis is used to reduce the dimension of high-dimensional data, which is better than the principal component analysis.
PCA-homework
- 这是用pca进行数据处理的，数据分析原理与实验的作业，里面有iris数据，可以运行。-this is a program for pca ,its data is iris. it is a homework for data analysis .
B10681002fj
- 低秩谱聚类分析包括2015年研究生数学建模B题的论文及相关程序，做的不好，但可供参考。开发平台是matlab-Low rank spectral clustering analysis includes the papers and related procedures of the research on the mathematical modeling of B in 2015. Development platform is matlab
Multivariate analysis
- 里面包括了一些常见的多元统计分析程序，适合简单快捷的数据探索和挖掘分析(It includes some common multivariate statistical analysis programs, suitable for simple and fast data exploration and mining analysis.)
Python for Data Analysis
- 利用python进行数据分析，英文书籍，从pandas库的数据分析工具开始利用高性能工具对数据进行加载、清理、转换、合并以及重塑；利用matpIotlib创建散点图以及静态或交互式的可视化结果；利用pandas的groupby功能对数据集进行切片、切块和汇总操作；处理各种各样的时间序列数据。(Starting from the data analysis tools of pandas database, high performance tools are used to load, clea