Python K-medoids可视化

Question

我从互联网上得到的这段代码。我适用于我的数据和工作。所以我试图展示这种方法的可视化，但我无法找到k-medoids的相关可视化代码。

from nltk.metrics import distance as distance 
import Pycluster as PC 
words = ['apple', 'Doppler', 'applaud', 'append', 'barker', 
    'baker', 'bismark', 'park', 'stake', 'steak', 'teak', 'sleek'] 
dist = [distance.edit_distance(words[i], words[j]) 
    for i in range(1, len(words)) 
    for j in range(0, i)] 

clusterid, error, nfound = PC.kmedoids(dist, nclusters=3) 
cluster = dict() 

uniqid=list(set(clusterid)) 
new_ids = [ uniqid.index(val) for val in clusterid] 
for word, label in zip(words, clusterid): 
    cluster.setdefault(label, []).append(word) 
for label, grp in cluster.items(): 
    print(grp) 

Answer 1

你输入数据字。

你会如何想象它们？它们不是坐标向量。