资源列表
Clustering-results-measurement
- 度量聚类精度的matlab程序，可用于聚类算法评估-Measure percentage of Accuracy and the Rand index of clustering results
Cosine-cross-similarity
- 利用cosin余弦距离量化不同数据集间相似性测度的matlab函数-quantize the similarity between data sets using cosin distance
delete-outliers
- 用于去除一个数据集中的野点的matlab函数，可应用数据建模及统计分析-For input vector A, returns a vector B with outliers (at the significance level alpha) removed. Also, optional output argument idx returns the indices in A of outlier values. Optional output argument outlie
Big-Data-common-codes
- r语言数据挖掘的实例，涵盖主流数据挖掘算法-r linguistic data mining examples, covering the mainstream data mining algorithms
leigs
- laplacian eigenmaps算法-laplacian eigenmaps Algorithm
treePlotter
- 机器学习中的决策树，利用python实现的算法-Decision tree in machine learning, using Python to achieve the algorithm
bayes
- 机器学习中的朴素贝叶斯算法，利用python实现的算法-The naive Bayesian algorithm in machine learning, using Python to achieve the algorithm
logRegres
- 机器学习中的逻辑回归算法，利用python实现的算法-Logic regression algorithm in machine learning, using Python to achieve the algorithm
DPSO
- 离散粒子群算法。粒子群算法原来只能处理连续变量，算法进行了改进，可以处理离散变量-Discrete particle swarm optimization algorithm, particle swarm optimization algorithm can only deal with continuous variables, the algorithm is improved, can handle discrete variables
Data-partitioning
- 在海量数据处理中可以用到，对大量数据的预处理，可以知道数据分布情况，并进行归类。 -In the mass data processing can be used for a large number of pre-processing of data, we can know the distribution of data, and collation.
P1-s2.0-S0957417410001107-main
- Business cycle predictions face various sources of uncertainty and imprecision. The uncertainty is usually linguistically determined by the beliefs of decision makers. Thus, the fuzzy set theory is ideally suited to depict vague and uncertain feature
DM_BayesAndKNN
- C++实现数据挖掘的贝叶斯分类方法和k-近邻分类方法，有源码，有示例数据，有说明文档-C++ implementation of data mining methods and Bayesian classification k- nearest neighbor classification method, there is source code, sample data, documentation