如何给出聚集数组的索引python？

Question

我已经尝试运行这个 K-Medoids python 实现代码

from sklearn.metrics.pairwise import pairwise_distances
import numpy as np

import kmedoids

# 3 points in dataset
data = np.array([[1,1], 
                [2,2], 
                [10,10]])

# distance matrix
D = pairwise_distances(data, metric='euclidean')

# split into 2 clusters
M, C = kmedoids.kMedoids(D, 2)

print('medoids:')
for point_idx in M:
    print( data[point_idx] )

print('')
print('clustering result:')
for label in C:
    for point_idx in C[label]:
        print('label {0}:　{1}'.format(label, data[point_idx]))

(https://github.com/someus/kmedoids) 它显示：

medoids:

[1 1]

[10 10]

clustering result:

label 0:　[1 1]

label 0:　[2 2]

label 1:　[10 10]

但是我想像这样在它的聚类结果上插入索引：

medoids:

[1 1], index 1

[10 10], index 3

clustering result:

label 0:　[1 1], index 1

label 0:　[2 2], index 2

label 1:　[10 10], index 3

有人知道怎么做吗？谢谢

Answer 1

你是说你也想打印 point_idx？

print('label {0}:　{1} {2}'.format(label, data[point_idx], point_idx))

如何给出聚集数组的索引python？

how to give index of clustered array python?

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cluster-analysis