文件名称:PICA-code
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多克隆免疫聚类算法,是一种比较新型的智能算法,其基本算法结构与遗传算法是类似的,以下源码是为网络节点分组调度问题而设计的算法-Polyclonal immune clustering algorithm
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下载文件列表
多克隆免疫聚类算法code
......................\angitest.m
......................\calculatePXTheta.m
......................\calculateQ.m
......................\clusterMerge.m
......................\clusters.mat
......................\convProd.m
......................\createPyramid.m
......................\distances.m
......................\formCoreClusters.m
......................\hist
......................\....\CVS
......................\....\...\Entries
......................\....\...\Repository
......................\....\...\Root
......................\....\README
......................\....\hist5hel.c
......................\....\histmulti5.m
......................\images
......................\......\CVS
......................\......\...\Entries
......................\......\...\Repository
......................\......\...\Root
......................\......\angkorwat.jpg
......................\......\angkorwat2.jpg
......................\......\bagofgrain.jpg
......................\......\bagofgrain2.jpg
......................\......\beans.jpg
......................\......\berries.jpg
......................\......\buildings.jpg
......................\......\buildings2.jpg
......................\......\corn.jpg
......................\......\corn2.jpg
......................\......\easyim1.jpg
......................\......\easyim2.jpg
......................\......\flowers.jpg
......................\......\model.jpg
......................\......\patchofgrass.jpg
......................\......\patchofgrass2.jpg
......................\......\redflowers.jpg
......................\......\redflowers2.jpg
......................\......\starfish.jpg
......................\......\starfish2.jpg
......................\......\testim1.jpg
......................\......\testim2.jpg
......................\......\water.jpg
......................\......\weave.jpg
......................\......\wolfie.jpg
......................\jefftest.m
......................\kclassify.m
......................\kmeansClusters.m
......................\patternDictionary.mat
......................\preprocess.m
......................\segment.m
......................\showClusters.m
......................\showPyramid.m
......................\sqdist.m
......................\statsCluster.m
......................\test1.m