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Nearest

SR-tree is an index structure for high-dimensional Nearest neighbor queries

SR-tree is an index structure for high-dimensional Nearest neighbor queries，C++ sourcecode. SR-tree outperforms the R*-tree and the SS-tree especially for high-dimensional and non-uniform data which are likely to appear in the actual image / video applications.

標簽： high-dimensional structure neighbor SR-tree

上傳時間： 2013-12-10

上傳用戶：zjf3110
k-Nearest neighbors classifier

k-Nearest neighbors classifier

標簽： classifier k-Nearest neighbors

上傳時間： 2013-12-25

上傳用戶：壞天使kk
Line intersect get the Nearest point.

Line intersect get the Nearest point.

標簽： intersect Nearest point Line

上傳時間： 2013-12-12

上傳用戶：zjf3110
假近鄰法(False Nearest Neighbor, FNN)計算嵌入維的Matlab程序文件夾說明： Main_FNN.m - 程序主函數

假近鄰法(False Nearest Neighbor, FNN)計算嵌入維的Matlab程序文件夾說明： Main_FNN.m - 程序主函數，直接運行此文件即可 LorenzData.dll - 產生Lorenz時間序列 PhaSpaRecon.m - 相空間重構 fnn_luzhenbo.dll - 假近鄰計算主函數 SearchNN.dll - 近鄰點搜索 buffer_SearchNN_1.dll - 近鄰點搜索緩存1 buffer_SearchNN_2.dll - 近鄰點搜索緩存2 參考文獻： M.B.Kennel, R.Brown, H.D.I.Abarbanel. Determining embedding dimension for phase-space reconstruction using a geometrical construction[J]. Phys. Rev. A 1992,45:3403.

標簽： Main_FNN Neighbor Nearest Matlab

上傳時間： 2013-12-10

上傳用戶：songnanhua
K-Nearest neighbour algorithm

K-Nearest neighbour algorithm

標簽： K-Nearest neighbour algorithm

上傳時間： 2015-08-09

上傳用戶：manking0408
假近鄰方法(False Nearest Neighbor,FNN)求混沌時間序列重構嵌入維

假近鄰方法(False Nearest Neighbor,FNN)求混沌時間序列重構嵌入維

標簽： Neighbor Nearest False FNN

上傳時間： 2015-09-11

上傳用戶：shus521
主要是KNN（the k-Nearest neighbor　algorithm ）,LVQ1（learning vector quantization 1）, DSM（decision surface

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.

標簽： quantization k-Nearest algorithm decision

上傳時間： 2016-02-07

上傳用戶：zhyiroy
k Nearest neiborhood in macine learning

k Nearest neiborhood in macine learning

標簽： neiborhood learning Nearest macine

上傳時間： 2014-01-16

上傳用戶：youth25
ClustanGraphics聚類分析工具。提供了11種聚類算法。 Single Linkage (or Minimum Method, Nearest Neighbor) Complete Li

ClustanGraphics聚類分析工具。提供了11種聚類算法。 Single Linkage (or Minimum Method, Nearest Neighbor) Complete Linkage (or Maximum Method, Furthest Neighbor) Average Linkage (UPGMA) Weighted Average Linkage (WPGMA) Mean Proximity Centroid (UPGMC) Median (WPGMC) Increase in Sum of Squares (Ward s Method) Sum of Squares Flexible (ß space distortion parameter) Density (or k-linkage, density-seeking mode analysis)

標簽： ClustanGraphics Complete Neighbor Linkage

上傳時間： 2014-01-02

上傳用戶：003030
KNN K-Nearest neighbor rule for classification

KNN K-Nearest neighbor rule for classification

標簽： classification K-Nearest neighbor rule

上傳時間： 2016-10-30

上傳用戶：yangbo69

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Nearest

SR-tree is an index structure for high-dimensional Nearest neighbor queries

k-Nearest neighbors classifier

Line intersect get the Nearest point.

假近鄰法(False Nearest Neighbor, FNN)計算嵌入維的Matlab程序文件夾說明： Main_FNN.m - 程序主函數

K-Nearest neighbour algorithm

假近鄰方法(False Nearest Neighbor,FNN)求混沌時間序列重構嵌入維

主要是KNN（the k-Nearest neighbor　algorithm ）,LVQ1（learning vector quantization 1）, DSM（decision surface

k Nearest neiborhood in macine learning

ClustanGraphics聚類分析工具。提供了11種聚類算法。 Single Linkage (or Minimum Method, Nearest Neighbor) Complete Li

KNN K-Nearest neighbor rule for classification