IABC_KMC_test_on_Iris_wine_glass
所属分类：大数据
开发工具：WINDOWS
文件大小：23KB
下载次数：4
上传日期：2018-03-08 11:24:25
上 传 者：
记得sayhi
说明： 克服K均值聚类算法易受初始聚类中心影响的缺点，优化K均值聚类算法
(The K mean clustering algorithm is easily affected by the initial cluster center, and the K mean clustering algorithm is optimized.)
文件列表:
IABC_KMC_test_on_Iris_wine_glass (0, 2018-03-05)
IABC_KMC_test_on_Iris_wine_glass\caculateCenter2.asv (1982, 2017-09-10)
IABC_KMC_test_on_Iris_wine_glass\caculateCenter2.m (2183, 2017-09-10)
IABC_KMC_test_on_Iris_wine_glass\calculateClassDistance.asv (1359, 2017-09-10)
IABC_KMC_test_on_Iris_wine_glass\calculateClassDistance.m (2574, 2017-09-10)
IABC_KMC_test_on_Iris_wine_glass\calculateFitness.m (176, 2017-09-10)
IABC_KMC_test_on_Iris_wine_glass\GreedySelection.asv (1170, 2017-09-10)
IABC_KMC_test_on_Iris_wine_glass\GreedySelection.m (1168, 2017-09-10)
IABC_KMC_test_on_Iris_wine_glass\griewank.m (198, 2017-09-10)
IABC_KMC_test_on_Iris_wine_glass\mykmeansmain913.asv (1635, 2017-09-10)
IABC_KMC_test_on_Iris_wine_glass\mykmeansmain913.m (1684, 2017-09-10)
IABC_KMC_test_on_Iris_wine_glass\rastrigin.M (561, 2017-09-10)
IABC_KMC_test_on_Iris_wine_glass\rosenbrock.M (577, 2017-09-10)
IABC_KMC_test_on_Iris_wine_glass\runABC.asv (7200, 2017-09-10)
IABC_KMC_test_on_Iris_wine_glass\runABC.m (7200, 2017-09-10)
IABC_KMC_test_on_Iris_wine_glass\Sphere.m (138, 2017-09-10)
IABC_KMC_test_on_Iris_wine_glass\testmaxmindistance915.asv (2594, 2017-09-10)
IABC_KMC_test_on_Iris_wine_glass\testmaxmindistance915.m (2594, 2017-09-10)
IABC_KMC_test_on_Iris_wine_glass\Union.m (16115, 2018-03-05)
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