A new nonmetric multidimensional scaling method for sorting data
Bibliographic Data
| ID | 19277106 |
|---|---|
| Authors | HIROSHI HOJO (corresponding author) |
| Year | 1993 |
| Volume | 35 |
| Issue | 3 |
| Pages | 129-139 |
| Publication date | 1993-01-01 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Japanese Psychological Research (JOURNAL) |
| Journal identifiers | ISSN: 0021-5368 • E-ISSN: 1468-5884 |
| Publisher | The Japanese Psychological Association (PUBLISHER • JP) |
| DOI | 10.4992/psycholres1954.35.129 |
| OpenAlex | W2495852025 |
| Language | EN |
| Citations received | 2 |
| References cited | 5 |
A new nonmetric multidimensional scaling method for sorting
Algorithm · Cluster (spacecraft) · Data mining · Data set · Geometry · Machine learning · Multidimensional data · Multidimensional scaling · Scaling · Set (abstract data type) · Sorting · Space (punctuation) · Artificial Intelligence · Categorization, perception, and language · Computer Science · Mathematics · Sensory Analysis and Statistical Methods
Multidimensional Scaling by Optimizing Goodness of Fit to a Nonmetric Hypothesis
A General Nonmetric Technique for Finding the Smallest Coordinate Space for a Configuration of Points
Nonmetric Multidimensional Scaling
An analysis of three Japanese verbs of breaking
A maximum likelihood method for additive clustering and its applications
| Citations per year | 0.18 |
|---|---|
| Citation span | 2015 - 2023 (9) |
| Highly cited | No |