Form1.cs是應用聚類算法DBSCAN (Density-Based Spatical Clustering of Application with Noise)的示例，可以通過兩個參數EPS和MinPts調節聚類。DBSCAN.cs是全部算法的實現文件，聚類算法的進一步信息請參考“數據挖掘”或者相關書籍。聚類示例數據來自于sxdb.mdb，一個Access數據庫。
標簽： Density-Based Application Clustering Spatical
上傳時間： 2015-05-26
上傳用戶：三人用菜
Face recognition eigen-based by Santiago Serrano
標簽： recognition eigen-based Santiago Serrano
上傳時間： 2014-11-26
上傳用戶：qweqweqwe
LVDS技術： 低電壓差分訊號(LVDS)在對訊號完整性、低抖動及共模特性要求較高的系統中得到了廣泛的應用。本文針對LVDS與其他幾種介面標準之間的連接，對幾種典型的LVDS介面電路進行了討論
上傳時間： 2014-01-13
上傳用戶：stvnash
Metalworks is a simple Swing-based simulated e-mail application. It shows off several features of Swing, including JInternalFrame, JTabbedPane, JFileChooser, JEditorPane, and JRadioButtonMenuItem. Metalworks is optimized to work with the Java look and feel (codenamed "Metal") and shows use of several features, such as themes, that are specific to the Java look and feel.
標簽： Swing-based application Metalworks simulated
上傳時間： 2015-05-30
上傳用戶：lizhen9880
Frequency Scale Conversion From f To f Scale frq2mel mel2frq mel The mel scale is based on the human perception of sinewave pitch. frq2erb erb2frq erb The erb scale is based on the equivalent rectangular bandwidths of the human ear. frq2midi midi2frq midi The midi standard specifies a numbering of semitones with middle C being 60. They can use the normal equal tempered scale or else the pythagorean scale of just intonation. They will in addition output note names in a character format.
標簽： Scale Conversion Frequency mel
上傳時間： 2015-06-07
上傳用戶：
Based on 80C196MC One-chip Computer Frequency Conversion Rapid System of Accent Design Program Listing
標簽： Conversion Frequency Computer One-chip
上傳時間： 2015-06-11
上傳用戶：我們的船長
gaussian_model,color based segmentation,draw ellipse may used in face detection
標簽： gaussian_model segmentation detection ellipse
上傳時間： 2015-06-13
上傳用戶：yuchunhai1990
color based segment in YCbCr space
上傳時間： 2015-06-13
上傳用戶：84425894
bayeserr - Computes the Bayesian risk for optimal classifier. ％ bayescln - Classifier based on Bayes decision rule for Gaussians. ％ bayesnd - Discrim. function, dichotomy, max aposteriori probability. ％ bhattach - Bhattacharya s upper limit of mean class. error. ％ pbayescln - Plots discriminat function of Bayes classifier.
標簽： Classifier classifier bayeserr Computes
上傳時間： 2015-06-14
上傳用戶：sunjet
The EM algorithm is short for Expectation-Maximization algorithm. It is based on an iterative optimization of the centers and widths of the kernels. The aim is to optimize the likelihood that the given data points are generated by a mixture of Gaussians. The numbers next to the Gaussians give the relative importance (amplitude) of each component.
標簽： algorithm Expectation-Maximization iterative optimi
上傳時間： 2015-06-17
上傳用戶：獨孤求源
