在Python 的 scikit-learn 库中,KMeans 类是用于执行 K-means 聚类算法的主要工具。根据你提供的错误信息 kmeans.__init__() got an unexpected keyword argument 'precompute_distances',这表明你在初始化 KMeans 对象时使用了不被接受的参数 precompute_distances。 1. 确认kmeans.__init__()方法的正确参数...
KMeans类实现K-均值聚类时其中的init有三个可选值:’ k-means++’ ,'random’，或者传递一个ndarray...
(1)‘k-means++’用K-means++优化算法选定初始聚类中心，可加速迭代收敛过程。
(kmeans_init_desc,x_train);constautokmeans_desc=dal::kmeans::descriptor<>().set_cluster_count(cluster_count).set_max_iteration_count(max_iteration_count).set_accuracy_threshold(accuracy_threshold);constautoresult_train=dal::train(kmeans_desc,x_train,result_init.get_centroids());std::cout<...
Error when KMeans ._init_centroids is used with sample_weight=None#26755 qbarthelemyopened this issueJul 3, 2023· 3 comments· Fixed by#26756 Copy link Contributor qbarthelemycommentedJul 3, 2023 Describe the bug A new parametersample_weighthas been added inKMeans ._init_centroids ...
sklearn.cluster.KMeans的参数init用于设置初始簇中心的获取方法。默认的‘k-means++’是用k-means++方法选定初始质心。()A.正确B.错误的答案是什么.用刷刷题APP,拍照搜索答疑.刷刷题(shuashuati.com)是专业的大学职业搜题找答案,刷题练习的工具.一键将文档转化为在线题
这是因为在 sktime 依赖项中使用了来自 sklearn 的私有方法。由于 sklearn 更新为 1.1.0，这个私有...
What it does is run 10 KMeans with different random_states and pick the best. This is like a grid search (no cv) on the random_state. I think the n_init parameter is often overlooked and I agree that most probably don't even know they are running KMeans 10 times and think it's...
张文君;顾行发;陈良富;余涛;许华.基于均值-标准差的K均值初始聚类中心选取算法.遥感学报.2006.715-721Zhang, W.J.; Gu, X.F.; Chen, L.F.; Yu, T.; Xu, H. An algorithm for initilizing of K-means Clustering based on mean-standard deviation. J. Remote Sens. 2006, 10, 715-721....
Setting n_jobs > 1 shouldn't do anything but makes things slower consistently.👎 1 dzad commented Mar 8, 2018 how large is your data? Member Author amueller commented Apr 6, 2018 Across several synthetic datasets. Member rth commented Jun 21, 2019 This will likely be resolved by ...