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Table 1 Notation and symbols

From: Consensus embedding: theory, algorithms and application to segmentation and classification of biomedical data

N

High(N)-dimensional space

n

Low(n)-dimensional space

c, d, e

Objects in set C

Z

Number of unique triplets in C

F(c)

High-dimensional feature vector

X(c)

Embedding vector

Λcd

Pairwise relationship in N

δ cd

Pairwise relationship in n

Δ(c, d, e)

Triangle relationship (Defn. 1)

ψES(n)

Embedding strength (Defn. 2)

^ n

True embedding (Defn. 3)

δ ^ c d

Pairwise relationship in ^ n

¨ n

Strong embedding (Defn. 4)

˙ n

Weak embedding

̃ n

Consensus embedding (Defn. 5)

δ ̃ c d

Pairwise relationship in ̃ n

M

Number of generated embeddings

K

Number of selected embeddings

R

Number of objects in C

X ̃ ( c )

Consensus embedding vector

  1. Summary of notation and symbols used in this paper.