<li id="4yiyi"></li> mean shift算法在聚類中的matlab實現
上傳時間： 2014-01-16
上傳用戶：Yukiseop
是對K-mean算法的數據分析處理,運行時需輸入數據,其中有參考數據,希望對大家的學習有所幫助
上傳時間： 2013-12-05
上傳用戶：ukuk
直線擬合的幾種算法，其中包括線性最小二乘，和兩種不同目標函數的非線性最小二乘，用于比較這些方法的優劣，另外matlab中說的robust least squares方法沒有找到，希望有朋友能給穿一下：）
上傳時間： 2014-06-18
上傳用戶：大三三
This program demonstrates some function approximation capabilities of a Radial Basis Function Network. The user supplies a set of training points which represent some "sample" points for some arbitrary curve. Next, the user specifies the number of equally spaced gaussian centers and the variance for the network. Using the training samples, the weights multiplying each of the gaussian basis functions arecalculated using the pseudo-inverse (yielding the minimum least-squares solution). The resulting network is then used to approximate the function between the given "sample" points.
標簽： approximation demonstrates capabilities Function
上傳時間： 2014-01-01
上傳用戶：zjf3110
The Linux kernel is one of the most interesting yet least understood open-source projects. It is also a basis for developing new kernel code. That is why Sams is excited to bring you the latest Linux kernel development information from a Novell insider in the second edition of Linux Kernel Development. This authoritative, practical guide will help you better understand the Linux kernel through updated coverage of all the major subsystems, new features associated with Linux 2.6 kernel and insider information on not-yet-released developments. You ll be able to take an in-depth look at Linux kernel from both a theoretical and an applied perspective as you cover a wide range of topics, including algorithms, system call interface, paging strategies and kernel synchronization. Get the top information right from the source in Linux Kernel Development.
標簽： interesting open-source understood projects
上傳時間： 2015-06-30
上傳用戶：zyt
控制行業中重要的least square parameter solution，里面使用了一個例子，可以將輸入改變然后使用
標簽： parameter solution square least
上傳時間： 2014-02-13
上傳用戶：tb_6877751
The Linux kernel is one of the most interesting yet least understood open-source projects. It is also a basis for developing new kernel code. That is why Sams is excited to bring you the latest Linux kernel development information from a Novell insider in the second edition of Linux Kernel Development. This authoritative, practical guide will help you better understand the Linux kernel through updated coverage of all the major subsystems, new features associated with Linux 2.6 kernel and insider information on not-yet-released developments. You ll be able to take an in-depth look at Linux kernel from both a theoretical and an applied perspective as you cover a wide range of topics, including algorithms, system call interface, paging strategies and kernel synchronization. Get the top information right from the source in Linux Kernel Development.
標簽： interesting open-source understood projects
上傳時間： 2015-07-26
上傳用戶：mpquest
A fast customizable function for locating and measuring the peaks in noisy time-series signals. Adjustable parameters allow discrimination of "real" signal peaks from noise and background. Determines the position, height, and width of each peak by least-squares curve-fitting.
標簽： customizable time-series measuring function
上傳時間： 2015-08-10
上傳用戶：invtnewer
RMSD: Root Mean Square Deviation 是一種在分子模擬及預測中很常見的評價標準，通過Jacobi變換來的到一個大分子和目標分子的相似程度。常用來評價一個三維結構的預測結果是否足夠準確.作者主頁http://dillgroup.ucsf.edu/~bosco/ 壓縮包里的html里還包括有Python代碼
標簽： Deviation Square RMSD Mean
上傳時間： 2015-08-12
上傳用戶：wyc199288
mean-shift算法的實現算例，通過看這段代碼，可以很快熟悉mean-shift算法
標簽： mean-shift 算法
上傳時間： 2013-11-29
上傳用戶：jhksyghr
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