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Description: k-means聚类算法，并用遗传算法辅助实现聚类的实现。-k-means clustering algorithm, and genetic algorithm-assisted clustering realize realize.
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Size: 1024 |
Author: ginger |
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Description: 1.基于Bayes分类的MATLAB程序
2.遗传算法求解函数优化
3.基于Matlab的人工免疫算法
4.空间数据分析中最常用的是聚类分析(k均值算法代码)
5.蚁群算法的matlab源码-1. Based on the Bayes classification of MATLAB procedures 2. Genetic Algorithm for Function Optimization 3. Matlab-based artificial immune algorithm 4. Spatial data analysis is the most commonly used cluster analysis (k means algorithm code) 5. Ant colony algorithm matlab source Code
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Size: 29696 |
Author: tangkezong |
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Description: 本算法是实现基于KNN的基因遗传算法，是对KNN算法的改进，具有更好的分类效果。-gaKnn[Genetic Algorithm Optimized K Nearest Neighbor Classification framework] is a frameowork for KNN optimization with a genetic algorithm.
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Size: 26624 |
Author: sally |
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Description: 用Ｋ均值和遗传算法实现了半监督聚类算法，这是个一个已经发表的论文的源程序-Using K-means and genetic algorithm to achieve a semi-supervised clustering algorithm, this is a paper published source
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Size: 4153344 |
Author: 张帅 |
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Description: 基于遗传算法的k-means聚类分析代码 欢迎下载-Based on Genetic Algorithm k-means cluster analysis of the code are welcome to download
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Size: 2048 |
Author: 陈贵龄 |
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Description: 基于遗传算法的K-means算法研究，有相关程序和算法说明。-Genetic Algorithm Based K-means algorithm, related program and algorithm description.
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Size: 3031040 |
Author: 王三 |
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Description: 数据挖掘，聚类，遗传算法，k-means算法，基于遗传算法的k-means聚类方法。-Data mining, clustering, genetic algorithm, k-means algorithm, based on genetic algorithm k-means clustering method.
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Size: 2591744 |
Author: 王三 |
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Description: 遗传算法具有全局搜索的功能，能够克服K-means算法的缺点。-Genetic algorithm global search function to overcome the shortcomings of K-means algorithm.
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Size: 38912 |
Author: 聂风 |
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Description: HGK, an hybrid algorythm with k-means and genetic applied on a small dataset for clustering (finding patterns and approximative solutions).
have to run k-means befor lunching the HGK
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Size: 77824 |
Author: rym |
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Description: k-menas using genetic algorithm for centroid initialization
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Size: 2048 |
Author: Galih |
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Description: The problem of intrusion detection has been studied and received a lot of attention in
machine learning and data mining in the literature survey. The existing techniques are not
effective to improve the classification accuracy and to reduce high false alarm rate.
Therefore, it is necessary to propose new technique for IDS. In this work, we propose a
new K-means clustering method with a different Preprocessing and Genetic Algorithm
for identifying intrusion and classification for both anomaly and misuse.
The experiments of the proposed IDS are performed with KDD cup’99 data set. The
experiments will clearly results the proposed method provides better classification
accuracy over existing method.
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Size: 400384 |
Author: Sumit |
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Description: 遗传算法 优化K均值算法 实现两种算法的优势互补 -Genetic Algorithm K-means algorithm to achieve complementary advantages of the two algorithms
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Size: 2048 |
Author: 张军 |
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Description: matlab code for Genetic k means algorithm
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Size: 668672 |
Author: NavdeepkJohal |
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Description: Design a feedforward network is u
dehaze algorithms review
path planning using GA and ACO...
The neural network adaboost stron
TS neural network m files, fast c
bp neural network, written with C
Bayes net and memory based learni
Design a fuzzy control system to
This is a book about fuzzy system
Cloud adaptive genetic algorithm
BP neural network and RBF neural
use a three-layers BP network to
Professor Lin in Taiwan support v
neural network theory
Practical matlab time series ar m
efficient robot path planning-pub
A population-based artificial imm
A description of the neural netwo
Clustering AHC, K-means, SOM--Design a feedforward network is u
dehaze algorithms review
path planning using GA and ACO...
The neural network adaboost stron
TS neural network m files, fast c
bp neural network, written with C
Bayes net and memory based learni
Design a fuzzy control system to
This is a book about fuzzy system
Cloud adaptive genetic algorithm
BP neural network and RBF neural
use a three-layers BP network to
Professor Lin in Taiwan support v
neural network theory
Practical matlab time series ar m
efficient robot path planning-pub
A population-based artificial imm
A description of the neural netwo
Clustering AHC, K-means, SOM-NN
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Size: 91136 |
Author: mohsen |
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Description: Design a feedforward network is u
dehaze algorithms review
path planning using GA and ACO...
The neural network adaboost stron
TS neural network m files, fast c
bp neural network, written with C
Bayes net and memory based learni
Design a fuzzy control system to
This is a book about fuzzy system
Cloud adaptive genetic algorithm
BP neural network and RBF neural
use a three-layers BP network to
Professor Lin in Taiwan support v
neural network theory
Practical matlab time series ar m
efficient robot path planning-pub
A population-based artificial imm
A description of the neural netwo
Clustering AHC, K-means, SOM--Design a feedforward network is u
dehaze algorithms review
path planning using GA and ACO...
The neural network adaboost stron
TS neural network m files, fast c
bp neural network, written with C
Bayes net and memory based learni
Design a fuzzy control system to
This is a book about fuzzy system
Cloud adaptive genetic algorithm
BP neural network and RBF neural
use a three-layers BP network to
Professor Lin in Taiwan support v
neural network theory
Practical matlab time series ar m
efficient robot path planning-pub
A population-based artificial imm
A description of the neural netwo
Clustering AHC, K-means, SOM-NN
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Size: 13312 |
Author: mohsen |
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Description: In this era an emerging filed in the data mining is data stream mining. The current research technique of the data stream is classification which mainly focuses on concept drift data. In mining drift data with the single classifier is not sufficient for classifying the data. Because of the high dimensionality and does not get processed within considerable time, memory, false alarm rate is high, classification accuracy result is low. In this paper, proposed a Genetic based Intuitionistic fuzzy version of k-means has been introduced for grouping interdependent features. The proposed method achieves improvement in classification accuracy and perhaps to select the least number of features which show the way to simplification of learning task. The experimental shows that the advocated method performs well when compared with existing methods.
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Size: 107520 |
Author: Opencvresearcher |
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Description: 遗传算法用在聚类方式时，其中的一个重要应用就是k-means算法，本文给出了源代码。-When the genetic algorithm used in the clustering mode, which is an important application of k-means algorithm, this paper presents the source code.
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Size: 1485824 |
Author: Gary Bu |
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Description: 基于kmeans与遗传算法结合的代码，对于新手很有作用，编码采用二进制-Based on k means algorithm combined with genetic code, useful for the novice action, binary encoding
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Size: 24576 |
Author: chenxuejing |
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Description: 使用k-means算法对图像进行分割，并利用遗传算法对k-means算法加以改进(The k-means algorithm is used for the segment of images, and the genetic algorithm is used to improve the k-means algorithm)
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Size: 2048 |
Author: smile_ljx
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Description: RBF（径向基神经网络）网络是一种重要的神经网络，RBF网络的训练分为两步，第一步是通过聚类算法得到初始的权值，第二步是根据训练数据训练网络的权值。RBF权值的初始聚类方法较为复杂，比较简单的有K均值聚类，复杂的有遗传聚类，蚁群聚类等，这个RBF网络的程序是基于K均值聚类的RBF代码。(RBF (radial basis function network) is an important neural network. The training of RBF network is divided into two steps. The first step is to get the initial weight by clustering algorithm, and the second step is to train the weight of the network according to training data. The initial clustering method of RBF weights is relatively complex. There are relatively simple K mean clustering, complex genetic clustering, ant colony clustering, etc. this RBF network is based on K means clustering RBF code.)
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Size: 6144 |
Author: 老外
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