Fast k-means clustering
2016-08-23
1 0 0
no vote
Other
Earn points
[L, c, d] = FKMEANS (x, k), using the k-means algorithm for matrix vector x into k clusters. Rows correspond to x, columns correspond to variables. Output KXP matrix containing the cluster Center.
Was typical of the k-means algorithm for clustering algorithm based on distance, using evaluation as a similarity index, which holds that the distance between two objects, the closer, the greater its similarity. The algorithm that cluster is composed of near objects, so separate clusters are compact and as the ultimate goal.
K initial clustering centers and the selection has a greater impact on clustering results, as in the first step of the algorithm is randomly select any as the initial clustering centers of k object, to represent an initial cluster. In each iteration, the algorithm for each object remaining in the data set, by relating them to the various cluster-center of each object to be assigned to the nearest cluster. When examining all the data objects when you are finished
Was typical of the k-means algorithm for clustering algorithm based on distance, using evaluation as a similarity index, which holds that the distance between two objects, the closer, the greater its similarity. The algorithm that cluster is composed of near objects, so separate clusters are compact and as the ultimate goal.
K initial clustering centers and the selection has a greater impact on clustering results, as in the first step of the algorithm is randomly select any as the initial clustering centers of k object, to represent an initial cluster. In each iteration, the algorithm for each object remaining in the data set, by relating them to the various cluster-center of each object to be assigned to the nearest cluster. When examining all the data objects when you are finished
matlab
均值
快速
Related Source Codes
GMSK Linear Receiver
0
0
no vote
NSGA-II algorithm
0
0
no vote
NSGA-III multi-objective optimization algorithm
0
0
no vote
Compressed sensing example
0
0
no vote
CFAR detector example
0
0
no vote
No comment