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
dataobjects
- Dirichlet process mixture model读取数据-Dirichlet read data
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。
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
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.
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.
k-means
- java实现kmeans算法,方便数据挖掘相关人员更直观了解整个算法的思想及实现过程-java achieve kmeans algorithm to facilitate data relevant personnel more intuitive understanding of the whole idea of mining algorithms and implementation process
Python数据分析与挖掘实战
- 本书共15章,分两个部分:基础篇、实战篇。基础篇介绍了数据挖掘的基本原理,实战篇介绍了一个个真实案例,通过对案例深入浅出的剖析,使读者在不知不觉中通过案例实践获得数据挖掘项目经验,同时快速领悟看似难懂的数据挖掘理论。读者在阅读过程中,应充分利用随书配套的案例建模数据,借助相关的数据挖掘建模工具,通过上机实验,以快速理解相关知识与理论。(There are 15 chapters in this book, which are divided into two parts: the basic c
中医证型的关联规则挖掘
- Apriori关联规则在中医证型中的应用,有对应数据及说明文档,可以运行(It is mainly the application of Apriori association rules in TCM syndromes, which can be run with corresponding data and process descr iption)