Nonmetric multidimensional scaling: A numerical method View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

1964-06

AUTHORS

J. B. Kruskal

ABSTRACT

We describe the numerical methods required in our approach to multi-dimensional scaling. The rationale of this approach has appeared previously.

PAGES

115-129

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/bf02289694

DOI

http://dx.doi.org/10.1007/bf02289694

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1018964677


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "author": [
      {
        "affiliation": {
          "alternateName": "Nokia (United States)", 
          "id": "https://www.grid.ac/institutes/grid.469490.6", 
          "name": [
            "Bell Telephone Laboratories, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kruskal", 
        "givenName": "J. B.", 
        "id": "sg:person.014256111100.25", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014256111100.25"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/s1385-7258(57)50017-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016332824"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02289630", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029294563", 
          "https://doi.org/10.1007/bf02289630"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02289630", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029294563", 
          "https://doi.org/10.1007/bf02289630"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1145/320964.320972", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037310126"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02289565", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044215102", 
          "https://doi.org/10.1007/bf02289565"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02289565", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044215102", 
          "https://doi.org/10.1007/bf02289565"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1385-7258(57)50066-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047703397"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/biomet/46.1-2.36", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059416847"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/biomet/46.3-4.317", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059416857"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1137/1004089", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062858104"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "1964-06", 
    "datePublishedReg": "1964-06-01", 
    "description": "We describe the numerical methods required in our approach to multi-dimensional scaling. The rationale of this approach has appeared previously.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/bf02289694", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1017907", 
        "issn": [
          "0033-3123", 
          "1860-0980"
        ], 
        "name": "Psychometrika", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "29"
      }
    ], 
    "name": "Nonmetric multidimensional scaling: A numerical method", 
    "pagination": "115-129", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "5a5c45d456c1be335ae0d4b814b48ff677a21e28c56ee990ab94bfcf2ec1f88c"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/bf02289694"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1018964677"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/bf02289694", 
      "https://app.dimensions.ai/details/publication/pub.1018964677"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T22:30", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8690_00000504.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2FBF02289694"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/bf02289694'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/bf02289694'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/bf02289694'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/bf02289694'


 

This table displays all metadata directly associated to this object as RDF triples.

79 TRIPLES      20 PREDICATES      33 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/bf02289694 schema:author Nc9bb1ec5e19c41d6b66c4deec73e1402
2 schema:citation sg:pub.10.1007/bf02289565
3 sg:pub.10.1007/bf02289630
4 https://doi.org/10.1016/s1385-7258(57)50017-6
5 https://doi.org/10.1016/s1385-7258(57)50066-8
6 https://doi.org/10.1093/biomet/46.1-2.36
7 https://doi.org/10.1093/biomet/46.3-4.317
8 https://doi.org/10.1137/1004089
9 https://doi.org/10.1145/320964.320972
10 schema:datePublished 1964-06
11 schema:datePublishedReg 1964-06-01
12 schema:description We describe the numerical methods required in our approach to multi-dimensional scaling. The rationale of this approach has appeared previously.
13 schema:genre research_article
14 schema:inLanguage en
15 schema:isAccessibleForFree false
16 schema:isPartOf N5dfdfb70855a4a94b20e6e3b4be69b8d
17 Nfd5e18e39e0b474da45c183a61b8e022
18 sg:journal.1017907
19 schema:name Nonmetric multidimensional scaling: A numerical method
20 schema:pagination 115-129
21 schema:productId N2db982c7b6b349ea884056cf914b58fa
22 Naff0fa5d5c094b8ead963960de0c1a26
23 Nc1cf8db2be574084a21b11d47003c015
24 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018964677
25 https://doi.org/10.1007/bf02289694
26 schema:sdDatePublished 2019-04-10T22:30
27 schema:sdLicense https://scigraph.springernature.com/explorer/license/
28 schema:sdPublisher N25bdf4b59b4f4bc2be2c549f0070b7e8
29 schema:url http://link.springer.com/10.1007%2FBF02289694
30 sgo:license sg:explorer/license/
31 sgo:sdDataset articles
32 rdf:type schema:ScholarlyArticle
33 N25bdf4b59b4f4bc2be2c549f0070b7e8 schema:name Springer Nature - SN SciGraph project
34 rdf:type schema:Organization
35 N2db982c7b6b349ea884056cf914b58fa schema:name readcube_id
36 schema:value 5a5c45d456c1be335ae0d4b814b48ff677a21e28c56ee990ab94bfcf2ec1f88c
37 rdf:type schema:PropertyValue
38 N5dfdfb70855a4a94b20e6e3b4be69b8d schema:volumeNumber 29
39 rdf:type schema:PublicationVolume
40 Naff0fa5d5c094b8ead963960de0c1a26 schema:name dimensions_id
41 schema:value pub.1018964677
42 rdf:type schema:PropertyValue
43 Nc1cf8db2be574084a21b11d47003c015 schema:name doi
44 schema:value 10.1007/bf02289694
45 rdf:type schema:PropertyValue
46 Nc9bb1ec5e19c41d6b66c4deec73e1402 rdf:first sg:person.014256111100.25
47 rdf:rest rdf:nil
48 Nfd5e18e39e0b474da45c183a61b8e022 schema:issueNumber 2
49 rdf:type schema:PublicationIssue
50 sg:journal.1017907 schema:issn 0033-3123
51 1860-0980
52 schema:name Psychometrika
53 rdf:type schema:Periodical
54 sg:person.014256111100.25 schema:affiliation https://www.grid.ac/institutes/grid.469490.6
55 schema:familyName Kruskal
56 schema:givenName J. B.
57 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014256111100.25
58 rdf:type schema:Person
59 sg:pub.10.1007/bf02289565 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044215102
60 https://doi.org/10.1007/bf02289565
61 rdf:type schema:CreativeWork
62 sg:pub.10.1007/bf02289630 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029294563
63 https://doi.org/10.1007/bf02289630
64 rdf:type schema:CreativeWork
65 https://doi.org/10.1016/s1385-7258(57)50017-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016332824
66 rdf:type schema:CreativeWork
67 https://doi.org/10.1016/s1385-7258(57)50066-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047703397
68 rdf:type schema:CreativeWork
69 https://doi.org/10.1093/biomet/46.1-2.36 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059416847
70 rdf:type schema:CreativeWork
71 https://doi.org/10.1093/biomet/46.3-4.317 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059416857
72 rdf:type schema:CreativeWork
73 https://doi.org/10.1137/1004089 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062858104
74 rdf:type schema:CreativeWork
75 https://doi.org/10.1145/320964.320972 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037310126
76 rdf:type schema:CreativeWork
77 https://www.grid.ac/institutes/grid.469490.6 schema:alternateName Nokia (United States)
78 schema:name Bell Telephone Laboratories, USA
79 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...