When working with mathematical simulations or engineering problems, it is not unusual to handle curves that contains thousands of points. Usually, displaying all the points is not useful, a number of them will be rendered on the same pixel since the screen precision is finite. Hence, you use a lot of resource for nothing! This article presents a fast 2D-line approximation algorithm based on the Douglas-Peucker algorithm (see [1]), well-known in the cartography community. It computes a hull, scaled by a tolerance factor, around the curve by choosing a minimum of key points. This algorithm has several advantages: 這是一個(gè)基于Douglas-Peucker算法的二維估值算法。
標(biāo)簽： mathematical engineering simulations problems
上傳時(shí)間： 2013-12-20
上傳用戶：changeboy
First of all we would like to thank God Almighty for giving us the strength and confidence in pursing the ambitions. We would like to thank our Examiner Professor Axel Jantsch for allowing us to do this under his guidance and encouragement. At the same time we would like to mention our sincere thanks to Mr. Said Zainali, Manager of FRAME ACCESS AB for giving all the required equipment and the technical support which helped us to finish this thesis. We would like to mention our gratitude to our fellow VACS team members who helped us a lot during difficult times.
標(biāo)簽： confidence Almighty strength giving
上傳時(shí)間： 2013-12-01
上傳用戶：小碼農(nóng)lz
Recent work by Petricoin and Liotta and co-workers (Petricoin et al. Use of proteomic patterns in serum to identify ovarian cancer. Lancet. 2002 Feb 16 359(9306):572-7. PMID: 11867112) has generated a lot of excitement and controversy. This example shows some ways that MATLAB can be used to read, visualize, pre-process (base-line correction, resample) and classify the data. The data can be downloaded from http://home.ccr.cancer.gov/ncifdaproteomics/ppatterns.asp
標(biāo)簽： Petricoin co-workers and proteomic
上傳時(shí)間： 2016-04-28
上傳用戶：hewenzhi
這是一個(gè)小程序，可以通過(guò)它來(lái)解開(kāi)nb格式的files
標(biāo)簽： 程序
上傳時(shí)間： 2014-01-27
上傳用戶：皇族傳媒
SOStools is a toolbox dedicated for positive polynomial programming, especially for Sums of Squares (S0S). A lot of chinese researchers have carried it out as a main tool in this area.
標(biāo)簽： programming especially polynomial dedicated
上傳時(shí)間： 2016-06-05
上傳用戶：pompey
做PCB板圖的規(guī)范，有華為的經(jīng)驗(yàn)總結(jié)，EMC設(shè)計(jì)方法以及一些NB人對(duì)布局布線的經(jīng)驗(yàn)總結(jié)，都是很實(shí)用的東東，不過(guò)要想完全掌握那些N人的經(jīng)驗(yàn)，可是需要很好的功底哦！
標(biāo)簽： PCB
上傳時(shí)間： 2014-03-11
上傳用戶：zhangliming420
The last step in training phase is refinement of the clusters found above. Although DynamicClustering counters all the basic k-means disadvantages, setting the intra-cluster similarity r may require experimentation. Also, a cluster may have a lot in common with another, i.e., sequences assigned to it are as close to it as they are to another cluster. There may also be denser sub-clusters within the larger ones.
標(biāo)簽： DynamicClusteri refinement Although clusters
上傳時(shí)間： 2014-01-04
上傳用戶：watch100
用java編寫(xiě)的數(shù)據(jù)挖掘的相關(guān)算法，包括id3，C4.5,NB等，不知道對(duì)大家是否有幫助，第一次傳
標(biāo)簽： java 編寫(xiě) 數(shù)據(jù)挖掘 算法
上傳時(shí)間： 2016-07-02
上傳用戶：h886166
支持中文分類(lèi)，用了三種算法實(shí)現(xiàn)，svm、knn、nb
標(biāo)簽： 分類(lèi)
上傳時(shí)間： 2013-12-25
上傳用戶：拔絲土豆
mymp3的運(yùn)行程序的源代碼，IDE是NB。
上傳時(shí)間： 2014-01-01
上傳用戶：李彥東
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