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
ItemClusteringRecomAlg
- 针对传统推荐算法的数据稀疏性问题和推荐准确性问题,提出基于粒子群优化的项聚类推荐算法。采用粒子群优化算法产生聚类中心,在此基础上搜索目标项目的最近邻居,并产生推荐,从而提高了传统聚类算法的推荐准确性及响应速度。实验表明改进的项聚类协同过滤算法能有效提高推荐精度-Aiming at the problems that the data are sparse and the results are not accurate in traditional recommendation algorith
newestpso
- A PSO clustering algorithm
ccode_pso
- PSO clustering using C code
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
PSO2
- 标准粒子群优化算法优化(PSO),该代码可以解决高纬空间,包括数据的预处理,及边界检查。可以应用到数据聚类,分类等问题。-Standard particle swarm optimization algorithm optimization (PSO), the code can solve the high-latitude space, including pre-processing of the data, and bounds checking. Can be applied to d
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
TEC2013Gong
- 基于分解的多目标离散PSO在复杂网络聚类中的应用-Complex Network Clustering by Multiobjective Discrete Particle Swarm Optimization Based on Decomposition
PSO_DataClustering
- This code is a data clustering algorithm based on Particle Swarm Optimization (PSO) for data clustering.
Metaheuristic-Clustering---MATLAB-Code
- Meta-heuristic clustering: Source Code of: GA: Genetic Algorithm PSO: Particles Swram Optimization HS: Harmony Search DE: Differential Evolution
yichuansuanfa
- 遗传算法优化BP神经网络、改进的模糊C-均值聚类、遗传算法(粒子群算法、人工鱼群算法等)的投影寻踪模型等遗传算法的简单集合。-Genetic algorithm to optimize the BP neural network, an improved fuzzy C- average clustering and genetic algorithm,(particle swarm optimization (pso), artificial fish algorithm, etc.) of
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.
pso-clustering-master
- this code is pso clustering
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