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Table 3 Summary of the metrics and methods that make each indicator larger with each algorithm

From: Validating the representation of distance between infarct diseases using word embedding

  

Metric

Method

Highest average value

Highest average value

Maximize

1st

2nd

3rd

Maximize

1st

2nd

3rd

CCC

Word2Vec

Euclidean

Euclidean

Sqeuclidean

Cityblock

Centroid

Average

Weighted

Single

FastText

Euclidean

Euclidean

Cityblock

Sqeuclidean

Average

Average

Weighted

Single

Glove

Cityblock

Cityblock

Sqeuclidean

Euclidean

Average

Average

Weighted

Centroid

AMI

Word2Vec

Correlation/cosine

Cosine

Correlation

Braycurtis

Average/weighted

Ward

Complete

Weighted

FastText

Correlation/cosine

Correlation/cosine

 

Braycurtis

Ward

Complete

Ward

Weighted

Glove

Braycurtis

Correlation/cosine

 

Braycurtis

Centroid

Average

Weighted

Ward

NMI

Word2Vec

Cosine

Cosine

Correlation

Braycurtis

Complete

Ward

Complete

Weighted

FastText

Correlation/cosine

Cosine

Correlation

Braycurtis

Ward

Complete

Ward

Weighted

Glove

Correlation/cosine

Braycurtis

Correlation/cosine

 

Ward

Ward

Complete

Average

ARI

Word2Vec

Cosine

Cosine

Correlation

Braycurtis

Complete

Ward

Complete

Weighted

FastText

correlation/cosine

Braycurtis

Correlation/cosine

 

Ward

Ward

Complete

Weighted

Glove

Braycurtis

Braycurtis

Correlation/cosine

 

Average/weighted

Average

Weighted

Ward