搜索资源列表
pca
- pca算法原理介绍和仿真代码，主要用于数据的聚类，代码时用于图像上的聚类过程，聚类效果很好，就是有点慢-pca algorithm introduces the principle and simulation code, mainly for clustering data, a clustering process images on-time code, clustering works well, is a bit slow
gpml-matlab-v3.4-2013-11-11
- Gaussian process for machine learning
dataobjects
- Dirichlet process mixture model读取数据-Dirichlet read data
X-R
- x-r控制图，用于分析工序稳定性，判定产品的合格性能-X-r control chart, used to analyze the process stability, and to determine acceptable performance of the product
jieba-0.37
- 这个相当于一个模块工具，很好地进行数据的处理和分析，相当准确。-This is equivalent to a module tool, a good process and analyze the data, quite accurately。
k_means
- k-means聚类算法，该算法已经经过验证，描述了聚类的过程-k-means clustering algorithm, which has been validated, we describe the process of clustering
Enhancedtextmining
- 强化版本文本挖掘流程，包含分词，分类聚类，分词结果评估等-Enhanced version of the text mining process, including word segmentation, classification clustering, segmentation results uation, etc.
k-means
- k-means算法的一个小实例，很好的展示了，算法的过程，测试聚类文件在txt中-A small example k-means algorithm, a good showing, the algorithm process, the test cluster file txt
kmeans
- k-means算法的一个小实例，很好的展示了，算法的过程-k-means algorithm for a small example, a good showing, the algorithm process
GP
- guassian process for classification and regression
multiverso-master
- Multiverso is a parameter server based framework for training machine learning models on big data with numbers of machines. It is currently a standard C++ library and provides a series of friendly programming interfaces. With such easy-to-use APIs, m
GAKMeans
- 由于Kmeans聚类分析是一个局部的搜索过程，因此加入遗传算法进行全局搜索选择最优的初始中心点使得Kmeans算法产生较大的改进-Since Kmeans Cluster analysis is a local search process, so join a global search for the genetic algorithm to the optimal initial centers such Kmeans algorithm produces greater improve
data--preprocessing-using-kdd-data-set
- Data Mining process model selected is KDD which starts selection of data.Initially the researcher has taken the Kddcup.data-10-perecnt which contains total of 311,027 records which includes both labeled and unlabeled records-Data Mining process model
GPR
- 利用高斯过程回归建立软测量模型，主程序名为OnlineStage.m,包含数据，可以直接运行，亲测可用。-Gaussian process regression soft sensor model, the main program named OnlineStage.m, contains data that can be run directly, pro-test available.
Wavelet-Entropy
- 通过小波熵处理多年的降水量，求得最大值，最小值，并预测降水趋势-Through years of precipitation wavelet entropy process, and seek maximum, minimum, and predicted precipitation trends
Ontology
- 。通过对领域本体的构建，实现了服务过程所涉及知识的逻辑结构与具体内容的全面语义描述和 后台并联。构建了基于本体的产品服务知识管理系统，该系统能实现产品服务活动案例所涉及知识的 获取和重用，满足知识源于服务活动，又重用于服务活动的循环。最后以某航空发动机非计划维修服务为例，验证了该知识表示方法的有效性。-building．An ontology— based knowledge representation framework was devel— oped for the reuse
data-mining-video
- 炼数成金数据挖掘视频，前两周，包括：数据挖掘概论，数据挖掘标准流程，适合刚入门的初学者作为了解-data mining video,the content including the introduction of data mining,data mining standard process,
GP
- 基于贝叶斯理论的高斯过程代码，包含高斯过程回归分析，以及相关噪声处理和高斯过程分类，提供数据进行测试，-Gauss procedure code based on Bayesian theory, including Gaussian process regression analysis, and related processing and noise Gaussian process classification, to provide data for testing, etc.
Sogou-character-porfile
- 介绍人物标签处理的过程，从数据采集，分词，预处理，算法选择以及结果展示方面来介绍相关过程。-This paper introduces the process of character label processing, and introduces the process of data acquisition, word segmentation, preprocessing, algorithm selection and result display.
The case for process mining in auditing
- 流程挖掘的目的是从公司ERP系统维护的事件日志中提取知识。(The case for process mining in auditing)