Dontopedia

Max Normalization

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Max Normalization is Divides each element of the vector by the maximum absolute value of the elements.

21 facts·13 predicates·3 sources·3 in dispute

Mostly:rdf:type(3), related to(3), compared to(2)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (12)

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relatedToRelated to(3)

comparesMethodsCompares Methods(1)

describesDescribes(1)

enumeratesEnumerates(1)

hasMemberHas Member(1)

isInputToIs Input to(1)

listsNormalizationTechniquesLists Normalization Techniques(1)

memberMember(1)

processedByProcessed by(1)

topicTopic(1)

Other facts (18)

The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.

18 facts
PredicateValueRef
Rdf:typeNormalization Technique[1]
Rdf:typeNormalization Technique[2]
Rdf:typeNormalization Method[3]
Related toL1 Normalization[1]
Related toL2 Normalization[1]
Related toClipping[1]
Compared toL2 Normalization[3]
Compared toL1 Normalization[3]
DescriptionDivides each element of the vector by the maximum absolute value of the elements[1]
Guaranteesmaximum-absolute-value-equals-one[1]
Inverse ofmaximum-absolute-value-equals-one[1]
CharacteristicSimple[2]
Scales byMaximum Value[2]
Definitionscales the vector so that the maximum absolute value of the vector is 1[3]
Has ProsMax Normalization Pros[3]
Has ConsMax Normalization Cons[3]
Has Code ExampleMax Normalization Code[3]
Output Typevector with maximum absolute value of 1[3]

Timeline

Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.

typebeam/6ac9e8ab-2944-40b1-943b-9ce412acd5f6
ex:NormalizationTechnique
labelbeam/6ac9e8ab-2944-40b1-943b-9ce412acd5f6
Max Normalization
descriptionbeam/6ac9e8ab-2944-40b1-943b-9ce412acd5f6
Divides each element of the vector by the maximum absolute value of the elements
guaranteesbeam/6ac9e8ab-2944-40b1-943b-9ce412acd5f6
maximum-absolute-value-equals-one
inverseOfbeam/6ac9e8ab-2944-40b1-943b-9ce412acd5f6
maximum-absolute-value-equals-one
relatedTobeam/6ac9e8ab-2944-40b1-943b-9ce412acd5f6
ex:l1-normalization
relatedTobeam/6ac9e8ab-2944-40b1-943b-9ce412acd5f6
ex:l2-normalization
relatedTobeam/6ac9e8ab-2944-40b1-943b-9ce412acd5f6
ex:clipping
typebeam/d52ddb27-b723-4b42-8bf3-43d5acc93402
ex:NormalizationTechnique
labelbeam/d52ddb27-b723-4b42-8bf3-43d5acc93402
Max Normalization
characteristicbeam/d52ddb27-b723-4b42-8bf3-43d5acc93402
ex:simple
scalesBybeam/d52ddb27-b723-4b42-8bf3-43d5acc93402
ex:maximum-value
typebeam/395d396a-6e1c-4c7b-a718-1253948ad22f
ex:NormalizationMethod
labelbeam/395d396a-6e1c-4c7b-a718-1253948ad22f
Max Normalization
definitionbeam/395d396a-6e1c-4c7b-a718-1253948ad22f
scales the vector so that the maximum absolute value of the vector is 1
hasProsbeam/395d396a-6e1c-4c7b-a718-1253948ad22f
ex:max-normalization-pros
hasConsbeam/395d396a-6e1c-4c7b-a718-1253948ad22f
ex:max-normalization-cons
hasCodeExamplebeam/395d396a-6e1c-4c7b-a718-1253948ad22f
ex:max-normalization-code
comparedTobeam/395d396a-6e1c-4c7b-a718-1253948ad22f
ex:l2-normalization
comparedTobeam/395d396a-6e1c-4c7b-a718-1253948ad22f
ex:l1-normalization
outputTypebeam/395d396a-6e1c-4c7b-a718-1253948ad22f
vector with maximum absolute value of 1

References (3)

3 references
  1. ctx:claims/beam/6ac9e8ab-2944-40b1-943b-9ce412acd5f6
    • full textbeam-chunk
      text/plain1 KBdoc:beam/6ac9e8ab-2944-40b1-943b-9ce412acd5f6
      Show excerpt
      normalized_l1 = l1_normalize(embeddings) print("\nL1 Normalized Embeddings:") print(normalized_l1) # Max Normalization normalized_max = max_normalize(embeddings) print("\nMax Normalized Embeddings:") print(normalized_max) # Clipping clipp
  2. ctx:claims/beam/d52ddb27-b723-4b42-8bf3-43d5acc93402
    • full textbeam-chunk
      text/plain950 Bdoc:beam/d52ddb27-b723-4b42-8bf3-43d5acc93402
      Show excerpt
      - Ensures that the vector sums to 1 and all elements are positive. - Often used in classification tasks to convert logits into probabilities. #### Cons: - Can be computationally expensive for large vectors. - May not be suitable for all ty
  3. ctx:claims/beam/395d396a-6e1c-4c7b-a718-1253948ad22f
    • full textbeam-chunk
      text/plain1 KBdoc:beam/395d396a-6e1c-4c7b-a718-1253948ad22f
      Show excerpt
      #### Example: ```python import numpy as np x = np.array([1, 2, 3]) x_l1 = x / np.sum(np.abs(x)) print(x_l1) ``` ### 3. Max Normalization #### Definition: Max normalization scales the vector so that the maximum absolute value of the vecto

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