搜索资源列表
QPSOFCM
- QPSO（具有量子性质的PSO算法）算法优化聚类问题，其相关代码-QPSO (quantum nature of the PSO algorithm) to optimize the clustering problem, its associated code
PP_Algorithm
- 将PSO和LBG结合在一步迭代过程中，并使用particle-pair（PP）搜索问题空间的算法-LBG will be in conjunction with PSO and step iterative process, and use the particle-pair (PP) problem space search algorithm
pso
- 粒子群聚类算法例题及其详细解析-Example particle cluster-like algorithm and its detailed analysis
Ipso
- 提出了一种基于改进型微粒群算法的无线传 感器网络分簇路由算法来优化分簇过程。簇首节点的选取综合考虑候选节点和邻居节点的状态信息-Proposed a modified particle swarm algorithm based on wireless sensor network clustering routing algorithm to optimize the clustering process. Cluster head node, considering the select
newestpso
- A PSO clustering algorithm
ccode_pso
- PSO clustering using C code
A-PSO-approach-to-clustering
- 一种较ACO、ABC算法优越的 PSOclustering-a particle swarm optimization approach to clustering
clustering
- This the source code to find the clustering of features using PSO and helps in classification-This is the source code to find the clustering of features using PSO and helps in classification
PSO2
- PSO聚类算法使用的数据是我们归一化后的数据，利用该数据求总的粒子数m,设置聚类数c（c=4,这个可以确定的），随机选择聚类中心并赋值给各个粒子，随机产生粒子的速度；-PSO clustering algorithm using data owned by a data after the data requirements to the total number of particles in m, set the number of clusters c (c = 4, this can b
Discrete-PSO
- In this paper, a novel Discrete Particle Swarm Optimization Algorithm (DPSOA) for data clustering has been proposed. The particle positions and velocities are defined in a discrete form. The DPSOA algorithm uses of a simple probability approach
clarify-PSO
- 协同PSO算法是运用协同组合方法，采用K均值来分类，PSO辅助来实现聚类分析-PSO algorithm is the use of collaborative synergistic combination of methods, the use of K-means to classify, PSO assisted to achieve clustering analysis
kmeancluster-pso
- 粒子群K均值聚类算法matlab源代码供大家学习-Particle Swarm K-means clustering algorithm matlab source code
clustering-algorithm-based-on--PSO
- 这是一份讲解基于PSO的聚类算法的PPT，可作学习参考-This is a clustering algorithm based on PSO explain the PPT, can be used to study reference
Metaheuristic-Clustering---MATLAB-Code
- Meta-heuristic clustering: Source Code of: GA: Genetic Algorithm PSO: Particles Swram Optimization HS: Harmony Search DE: Differential Evolution
PSO
- 粒子群算法是一种新的模仿鸟类群体行为的智能优化算法，在函数优化、图像压缩和基因聚类中的应用。-Particle Swarm is a new group of birds to imitate the behavior of intelligent optimization algorithm, function optimization, image compression and gene clustering applications.
KPSO
- 一种快速粒子群聚类算法-a kind of PSO clustering algorithm
All_Clu
- K-means，PSOKM，ACKM三种聚类算法，数据集适用于K-means，在PSO上效果不好，AC有改进(Including K-means, PSOKM, ACKM three clustering algorithms, the data set applies to K-means, clustering on PSOKM is not good, clustering in ACKM has improved.)
PSO_clustering
- pso for data clustering program. v v helpful
PSO_Kmeans
- K-means聚类算法，基于PSO改的聚类算法，对初始点的选择进行优化(K-means clustering algorithm, based on PSO modified clustering algorithm, optimized the selection of the initial point.)
codaa
- The PSO clustering algorithm has as objective to simultaneously minimize the quantization error and intra-cluster distances