This directory contains code implementing the K-means algorithm. Source code may be found in KMEANS.CPP. Sample data isfound in KM2.DAT. The KMEANS program accepts input consisting of vectors and calculates the given number of cluster centers using the K-means algorithm. Output is directed to the screen.
標(biāo)簽： code implementing directory algorithm
上傳時間： 2014-01-15
上傳用戶：woshini123456
這是一個利用模擬退火來計算TSP旅行家的問題
上傳時間： 2016-01-28
上傳用戶：chenxichenyue
這是利用基因演算法來計算皇后問題的小程式 絕對是狠快速的方法
上傳時間： 2016-01-28
上傳用戶：英雄
行動裝置用的鬧鐘,有別於內(nèi)建的行事 曆的題醒與系統(tǒng)內(nèi)建的鬧鐘好!
標(biāo)簽： 系統(tǒng)
上傳時間： 2014-08-11
上傳用戶：jichenxi0730
k-means是一種經(jīng)典的聚類算法，這是用java實(shí)現(xiàn)k-means的源碼，其中包括了測試數(shù)據(jù)文件
上傳時間： 2014-01-11
上傳用戶：lizhizheng88
模式識別中K均值算法的示例程序，可對一組數(shù)據(jù)分類并圖形輸出分類結(jié)果。
上傳時間： 2013-12-23
上傳用戶：yph853211
C#程序員參考手冊.本書適合於需要C#語言和．NET Framework類庫的快速參考的程序員和希望通過代碼示例學(xué)習(xí)編程的程序員閱讀。
上傳時間： 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
上傳時間： 2013-12-21
上傳用戶：gxmm
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
上傳時間： 2016-02-07
上傳用戶：zhyiroy
這是一個關(guān)于K均值的聚類算法希望對大家有用
上傳時間： 2016-02-15
上傳用戶：ma1301115706
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