C#程序員參考手冊(cè).本書(shū)適合於需要C#語(yǔ)言和．NET Framework類(lèi)庫(kù)的快速參考的程序員和希望通過(guò)代碼示例學(xué)習(xí)編程的程序員閱讀。
標(biāo)簽： Framework 程序 NET 手冊(cè)
上傳時(shí)間： 2013-12-02
上傳用戶：wendy15
How the K-mean Cluster work Step 1. Begin with a decision the value of k = number of clusters Step 2. Put any initial partition that classifies the data into k clusters. You may assign the training samples randomly, or systematically as the following: Take the first k training sample as single-element clusters Assign each of the remaining (N-k) training sample to the cluster with the nearest centroid. After each assignment, recomputed the centroid of the gaining cluster. Step 3 . Take each sample in sequence and compute its distance from the centroid of each of the clusters. If a sample is not currently in the cluster with the closest centroid, switch this sample to that cluster and update the centroid of the cluster gaining the new sample and the cluster losing the sample. Step 4 . Repeat step 3 until convergence is achieved, that is until a pass through the training sample causes no new assignments.
標(biāo)簽： the decision clusters Cluster
上傳時(shí)間： 2013-12-21
上傳用戶：gxmm
S3C2410官方釋出的自我測(cè)試程式,測(cè)試項(xiàng)目包括Power,LCD,UART,Timer,Flash...共99種,內(nèi)含Image檔可以直接燒錄到板子上使用.
標(biāo)簽： S3C2410 Power Flash Image
上傳時(shí)間： 2014-08-17
上傳用戶：思琦琦
主要是KNN（the k-nearest neighbor algorithm ）,LVQ1（learning vector quantization 1）, DSM（decision surface mapping）算法。 and a simple clustering algorithm.
標(biāo)簽： quantization k-nearest algorithm decision
上傳時(shí)間： 2016-02-07
上傳用戶：zhyiroy
這是一個(gè)關(guān)于K均值的聚類(lèi)算法希望對(duì)大家有用
上傳時(shí)間： 2016-02-15
上傳用戶：ma1301115706
選擇第k小的元素，c語(yǔ)言 partition 要好好看看 理解函數(shù)意思
標(biāo)簽： 元素
上傳時(shí)間： 2016-02-19
上傳用戶：ukuk
K-MEANS算法程序(MATLAB環(huán)境)
標(biāo)簽： K-MEANS MATLAB 算法 程序
上傳時(shí)間： 2014-07-11
上傳用戶：JasonC
Linux Server Hacks, Volume Two By Brian K. Jones, William von Hagen ............................................... Publisher: O Reilly Pub Date: December 2005 Print ISBN-10: 0-596-10082-5 Print ISBN-13: 978-0-59-610082-7 Pages: 478
標(biāo)簽： K. William Server Volume
上傳時(shí)間： 2016-02-26
上傳用戶：ZJX5201314
加權(quán)k均值算法，或者稱(chēng)為加權(quán)C均值聚類(lèi)算法
上傳時(shí)間： 2016-02-26
上傳用戶：TF2015
k均值算法，基于兩維的
標(biāo)簽： 均值算法
上傳時(shí)間： 2016-02-28
上傳用戶：cc1015285075
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