资源列表
classification
- Data Mining and Classification for NLP
Decision-Tree-python
- python实现的决策树代码，包括数据，以及源代码- tree python code is implemented, including data, and source code
cPP-isodata
- ISODATA聚类算法，显示聚类中心及每个类别的样本点-ISODATA clustering algorithm, cluster center display sample point and each category
draw-boundary
- Drawing boundary for decision tree algorithms
K-LDA
- KFDA是FDA进行首先投影到核空间，然后进行判别分析，核技巧提高了算法的可行性。-KFDA said the FDA is first projection in kernel space, and then the discriminant analysis, nuclear techniques to improve the feasibility of the algorithm.
DecisionTree
- matlab代码实现决策树，是学习数据挖掘的基本分类器的入门代码-DecisionTree classifier about data mining coded by matlab
density-peaks-clustering
- 这是密度峰聚类的简易代码，比原作者给出的代码要简洁迅速。并提供RI指数检测。用matlab编程的代码- 这是密度峰聚类的简易代码，比原作者给出的代码要简洁迅速。并提供RI指数检测。用matlab编程的代码 This is a simple density peak clustering code, compared to the original author of the code to be concise and rapid. And provides RI index de
sPl1Pl21
- 论文 Least Squares Loss for Multi-class (task) Learning via the sparse group Lasso penalty 的算法源代码，是sparse+l1+lq,1的稀疏属性选择算法。- Least Squares Loss for Multi-class (task) Learning via the sparse group Lasso penalty Problem
time
- python 初级时间抓取，读取时间。希望对你有所帮助-python primary gripping time, read time. I hope for your help
FPGrowth
- FpGrowth算法的Java完整实现，可用于改进到分布式环境，自制基础数据文件后结果可生成-Results can generate a full implementation of Java FpGrowth algorithm that can be used to improve the distributed environment, homemade basic data files
GoogleNormalDistanceCalculator
- 计算两个词语的google相似度，即google normal distance-To calculate the distance between two words with google normal distance algorithm.
Apriori
- Apriori算法是一种最有影响的挖掘布尔关联规则频繁项集的算法。其核心是基于两阶段频集思想的递推算法。- Apriori algorithm is one of the most influential mining Boolean association rules frequent itemsets algorithm. Its core is based on a two-stage frequency set recursive algorithm thought.