搜索资源列表
kmeans
- k-means算法是文本聚类经典算法，也是数据挖掘十大经典算法之一。k-means算法Java实现。-k-means algorithm is a classical algorithm text clustering, data mining is one of the ten classic algorithms. k-means algorithm is implemented in Java.
NaiveBayes
- 贝叶斯分类器，机器学习十大经典算法之一，基本的实现-Naive Bayes
FCM
- 核聚类算法：聚类是将一组给定的未知类标号的样本分成内在的多个类别，使得同一类中 的样本具有较高的相似度，而不同类中的样本差别大。侧重于软聚类（模糊C-均值——FCM），但其描述手段同样适合于硬聚 类（HCM）等同类问题。-Clustering algorithm: cluster is a group of unknown samples given class label into internal multiple categories, so that the same class
PSOjulei
- 本文是粒子群聚类算法代码，很细致，希望大家用得上！-This is the class of particle clustering algorithm code, very detailed, I hope you need them!
R4
- 短文本数据集，各大论文的数据集取材，英文文本，已经stemming,去停词，提炼后的。-R4 short text dataset,english. stemming and non-stop words.
1
- 采用粗糙集理论实现连续数据的离散化,对理解数据的离散化有很大帮助-Using rough set theory to realize continuous data discretization
rw
- 最大熵随机游走，在每一步中令熵率保持局部最大-The maximum entropy random walk, so entropy rate at each step to keep the local maximum
Kmeanschuantong
- 传统k-means程序，包括最大误差和、迭代次数、运行时间-The traditional k- means the program, including the maximum error and, number of iterations, running time
rvm-wind-power-forecast
- 相关向量机用于风电场功率预测和各种大数据分类问题，单变量输出-Relevance vector machine for a wind farm power prediction and a variety of large data classification problem, univariate output
LapLDA
- 利用LapLDA进行初始化，预测出无标签数据XU的类别信息，这样所有的训练样本都有类别了。 为样本 的软类别标签，软类别标签中最大的问题对应其具体类别。 LapLDA可用基于原始数据的LLE-style reconstruction weights -LLE-style reconstruction weights
Top-10-Algorithms-in-Data-Mining
- 在2006年9月召开的ICDM会议上，邀请了ACM KDD创新大奖(InnovationAward)和 Top 10 Algorithms in Data Mining IEEEICDM研究贡献奖(Research Contributions Award)的获奖者们来参与数据挖掘10大算 法的选举，每人提名10种他认为最重要的算法-Classification，Statistical Learning，Top 10 Algorithms in Data Mining，material
GA
- 基于VB 的遗传算法求解最大值问题，适合初学者-VB based on genetic algorithm for solving maximum problem for beginners
PAC--Datamining
- PCA降维算法应用大数据挖掘中，在大数据环境下实现数据的降维，可按需要自行修改代码-PCA dimensionality reduction algorithm in data mining, in the big data environment for data dimension reduction, according to need to modify the code itself
change-detection
- 对数据做变化检测，分析哪些部分变化比较大，并绘图-The data do change detection, which analyzes some of these changes is relatively large, and drawing
big-data
- 介绍了大数据时代的发展以及大数据与大数据在经济学的应用，还有大数据的安全与隐私保护，网络大数据的现状与展望-It introduced the development of big data and big data era of big data applications and economics, as well as large data security and privacy protection, the current situation and prospect of larg
log
- 提出基于拉普拉斯高斯（Laplacian of Gaussian，LoG）算子边缘检测的全局二值化方法对其进行处理，该方法通过提取图像边缘部份的像素灰度获得图像二值化的阈值。处理结果表明，与传统的几种方法相比，该方法能够快速选取良好的二值化阈值，较好地区分目标和背景，在相当大模板宽度内图像二值化的结果都令人满意。-Is put forward based on the Laplacian of Gaussian (LoG) Laplacian of Gaussian, operator edge
large-data
- 对大数据的应用，很有启发负荷预测。我希望你能有所帮助。-Load forecasting on large data applications, very enlightening. I hope you can help.
2
- 每一位作家都有自己的写作风格，词语的使用方面会有很大的不同，根据文章中的虚词的使用情况，计算两篇文章的余弦值。检测两篇文章的相似度。-Every writer has their own style of writing aspect, the use of the words will be very different, according to the article in the function words usage, calculate the cosine of the two
Spark快速大数据分析
- 利用Python和Spark进行海量数据的实时分析，解决商业方案(Using Python and Spark to do real-time analysis of mass data, and to solve business solutions)
apriori
- apriori算法，matlab，大数据挖掘(The libsvm used for handwritten digit recognition, data uci . You can go to uci datasets sites directly download semeion.data. The data can be called directly after putting into the folder.)