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project_src3161
- 我的歌词·我的PSP(暂名) 目前能做什么: 1。播放mp3 2。支持lrc歌词 3。增强音效(还处于摸索阶段,为保护你的听力,请不要把音量开得太高!!) 4。支持线控操作 5。支持对播放列表制定 6。支持自定义skin 7。支持书签 -my lyrics I PSP (tentatively) now what can you do : 1. MP3 player 2. Support LR
pcahao
- /* Principal Components Analysis or the Karhunen-Loeve expansion is a classical method for dimensionality reduction or exploratory data analysis. One reference among many is: F. Murtagh and A. Heck, Multivariate
project_src3161
- 我的歌词·我的PSP(暂名) 目前能做什么: 1。播放mp3 2。支持lrc歌词 3。增强音效(还处于摸索阶段,为保护你的听力,请不要把音量开得太高!!) 4。支持线控操作 5。支持对播放列表制定 6。支持自定义skin 7。支持书签 -my lyrics I PSP (tentatively) now what can you do : 1. MP3 player 2. Support LR
ExploratorySocialNetworkAnalysiswithPajek
- 用pajek来分析社会网络结构,英文版,是学习使用pajek的必备资料-Used to analyze pajek social network structure, in English, is learning to use the necessary information pajek
pcahao
- /* Principal Components Analysis or the Karhunen-Loeve expansion is a classical method for dimensionality reduction or exploratory data analysis. One reference among many is: F. Murtagh and A. Heck, Multivariate
Data_Preparation_for_data_Mining_Using_SAS
- A.1 Copyright and Software License A.2 Dependencies between Macros A.3 Data Acquisition and Integration A.3.1 Macro TBRollup() A.3.2 Macro ABRollup() A.3.3 Macro VarMode() A.3.4 Macro MergeDS() A.3.5 Mac
MBtoolbox_v_02
- source code for Multi-block Methods for Exploratory Data Mining in Food Technology
ExploratoryDataAnalysiswithMATLAB
- 用MATLAB进行探索数据分析,理论和应用同时介绍,并在书中列出不少MATLAB实现的例子-Exploratory Data Analysis with MATLAB, introduce exploratory data analysis methods and algorithms
201003251
- 星上交换技术在卫星网络通信中所起的重要作用已引起人们越来越多的关注。目前地 面网络交换技术成熟,而且吞吐量高。但是由于地面网络交换系统中交换开关调度算法复杂度高,查表速率要求高,缓存容量需求大,以及空间环境和卫星有效载荷功耗、体积等因素限制,在卫星网络中并不适宜采用地面网络交换技术。适合基于激光链路的卫星网络的星上交换技术仍然处于探索阶段,星上交换技术是目前重要的研究课题。-Stars on the exchange of tech
ArcGISEngineImplementWebGIS
- AEWF是基于ArcEngine探索性开发的一套Web应用框架,目前实现功能: 1)地图基本操作(放大、缩小、平移、图层控制); 2)空间选择、属性查询; 3)地图定位及高亮显示; 4)缓冲区分析;-AEWF is based on the ArcEngine exploratory development of a Web application fr a mework, the current implem
PCA_C
- PCA 应用于数据矩阵降维,压缩数据!广泛应用于各种行业。 Author: F. Murtagh- Principal Components Analysis or the Karhunen-Loeve expansion is a classical method for dimensionality reduction or exploratory data analysis. One refer
k-means
- Clustering is the unsupervised classification of patterns (observations, data items, or feature vectors) into groups (clusters). The clustering problem has been addressed in many contexts and by researchers in many d
file-2
- Clustering is the unsupervised classification of patterns (observations, data items, or feature vectors) into groups (clusters). The clustering problem has been addressed in many contexts and by researchers in many d
imagelibto-c
- Clustering is the unsupervised classification of patterns (observations, data items, or feature vectors) into groups (clusters). The clustering problem has been addressed in many contexts and by researchers in many d
-statistical-analysis
- 本文主要讲述的是地统计分析,包括地统计基础、探索性数据分析、空间确定性插值。-This article is about to statistical analysis, including in statistical base, exploratory data analysis, spatial interpolation uncertainty.
LISREL
- 本书主要讲述了以健身调查数据示范数据的清理和准备、多元回归分析.、用美国经济数据构建二阶最小二乘模型、以心理学数据为例示范探索性因子分析-This book focuses on the health survey data to model the data cleaning and preparation, multiple regression analysis, with building a second U.S. econo
6sigma
- 六西格玛管理在我国企业还处于摸索阶段,中国企业推行六西格玛可谓任重道远。国内真正搞六西格玛的企业少之又少,大多是在追求新概念,仅仅是舔一舔,尝试新的模式,缺乏真正吞下去并进行消化的勇气和决心,很多企业只是在利用一点六西格玛的某些工具,没有做系统的六西格玛培训和实施,更谈不上战略性规划。 -Six Sigma in our company is still in the exploratory stage, the Chinese
Exploratory-Factor-Analysis
- Ledyard Tucker and Robert MacCallum关于因子分析的手稿。-A book manuscr ipt by Ledyard Tucker and Robert MacCallum
software-exploratory-testing
- 百度探索性测试 是目前比较流行的一种软件测试的思想 这个ppt是本人参加上海测试大会时才有的ppt 是要付费的-Baidu exploratory testing is a software testing is relatively popular thinking this ppt himself to participate in Shanghai testing the Assembly, only some ppt to pa
Exploratory-Data-Analysis
- 探索性数据分析"Exploratory Data Analysis"的第三章-Chapter 3 of Exploratory Data Analysis