Question

我计算单词/句子之间的距离并通过scipy linkage函数运行它们，但我需要知道如何将它与原始输入相关联。即由于联动功能不接受，我在途中丢失了标签。

TL;博士; 我不知道如何将我的标签（var X）与联系函数的输出联系起来。

X = [
    "the weather is good",
    "it is a rainy day",
    "it is raining today",
    "This has something to do with today",
    "This has something to do with tomorrow",
]

# my magic function

result_set = [['this has something to do with today', 'this has something to do with tomorrow', 0.95044514149501169], 
    ['this has something to do with today', 'it is a rainy day', 0.27315656750393491], 
    ['this has something to do with today', 'it is raining today', 0.21404567560988952], 
    ['this has something to do with today', 'the weather is good', 0.12284646267479128], 
    ['this has something to do with tomorrow', 'it is a rainy day', 0.28564020977046212], 
    ['this has something to do with tomorrow', 'it is raining today', 0.19174771483161279], 
    ['this has something to do with tomorrow', 'the weather is good', 0.12920110156248313], 
    ['it is a rainy day', 'it is raining today', 0.54390124565447373], 
    ['it is a rainy day', 'the weather is good', 0.20843820300588964], 
    ['it is raining today', 'the weather is good', 0.19278767792873652]]

sims = np.array(result_set)[:, 2]
sims = ['0.950445141495' '0.273156567504' '0.21404567561' '0.122846462675'
     '0.28564020977' '0.191747714832' '0.129201101562' '0.543901245654'
     '0.208438203006' '0.192787677929']

Z = linkage(sims, 'ward')
Z = [[ 0.          4.          0.12284646  2.        ]
    [ 1.          3.          0.19174771  2.        ]
    [ 2.          5.          0.27143491  3.        ]
    [ 6.          7.          0.70328415  5.        ]]

Answer 1

事实证明我正在进入距离函数的相似性，因此在反转sim之后结果确实有意义。以下操作正确显示标签

dendrogram(
    Z,
    labels=X,
    orientation="right",
    leaf_rotation=0,  # rotates the x axis labels
    leaf_font_size=8,  # font size for the x axis labels
)

Scipy：连接标签输出Z.

1 个答案: