搜索资源列表
linux_neighbour_subsystem
- 邻居子系统的一些个人总结neighbour subsystem/邻居子系统的一些个人总结neighbour subsystem
nearest_neighbour
- nearest neighbour clustering is an algoithm that puts data in categories. This algotithm is a data mining subject. Similar data is put in the same cluster.
RegressionNearestneighbor
- RBF Regression Nearest Neighbour
Knn
- knn algorithm which is used to find the nearest neighbour
kmeansicml03
- This is K-Nearest Neighbour tutorial
edgeDetectionLBP
- Finding edge candidates with LBP. It uses (8,1) neighbour if pattern is like [00001111] than it is edge like pattern.
Nearest-Neighbour-Interpolation
- A code for implementing Nearest Neighbor Interpolation
ACA-doc
- parallel programing knapsack, parralel computing , k nearest neighbour, parallelizing MCMDKP.
First_Mock_up
- mock up for kickstarte neighbour land
nn
- nearest neighbour file for neighbour detection
Preventing-Method-Of-Wormhole-Attack
- we introduce many types of attack. In many types of attack wormhole attack is more dangerous attack for network because it is very hard to detect. We discussed about a wormhole attack & its models and types. This survey introduces different wormhole
Heuristic-method-for-the-Traveling-Salesman-Probl
- Heuristic method for the Traveling Salesman Problem A number of nearest neighbour tours are generated randomly selected starting points. Each tour is improved by 2-opt heuristics (pairwise exchange of edges) and the best result is selected.
HM-TSP
- Heuristic method for the Traveling Salesman Problem A number of nearest neighbour tours are generated randomly selected starting points. Each tour is improved by 2-opt heuristics (pairwise exchange of edges) and the best result is selected.
Traveling-Salesman-Problem---Nearest-Neighbor
- Nearest Neighbour algorithm for a TSP with 7 cities. The solution changes as the starting point is changed The nearest neighbour (NN) algorithm (a greedy algorithm) lets the salesperson choose the nearest unvisited city as his next move. This algor
knn-svm classifier
- Face recognition system using k-nearest neighbour and support vector machine as classifier