如何解决K Medoids 聚类，四舍五入质心的值
我使用 K Medoids 进行聚类，因为我需要数据中的精确点作为质心，但返回的质心是四舍五入的值，而不是数据中的精确值。如何从原始数据点聚类以获取质心？
我的代码：
from sklearn_extra.cluster import KMedoids
data_for_training = [
[0.008283166870024972,0.5241873127222382]
[0.9839695815731111,0.473745918513024]
[0.5357356595861016,0.036179944932740564]
[0.013037720894515555,0.9076873294135118]
[0.4952411747522852,0.036179944932740564]
[0.973934100304903,0.35229415292333555]
[0.002026205306901472,0.7669768280613097]
[0.3739221549035985,0.036179944932740564]
[0.3464069211738597,0.036179944932740564]
]
kmaedoids = KMedoids(n_clusters=3).fit(data_for_training)
centers = kmaedoids.cluster_centers_
print('centroids',centers)
结果四舍五入如下：
centroids [[0.00440104 0.76697683]
[0.34640692 0.03617994]
[0.98396958 0.46684645]]
版权声明：本文内容由互联网用户自发贡献，该文观点与技术仅代表作者本人。本站仅提供信息存储空间服务，不拥有所有权，不承担相关法律责任。如发现本站有涉嫌侵权/违法违规的内容， 请发送邮件至 dio@foxmail.com 举报，一经查实，本站将立刻删除。
