Eigenvalues and eigenvectors and Self-organizing map

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between Eigenvalues and eigenvectors and Self-organizing map

Eigenvalues and eigenvectors vs. Self-organizing map

In linear algebra, an eigenvector or characteristic vector of a linear transformation is a non-zero vector that changes by only a scalar factor when that linear transformation is applied to it. A self-organizing map (SOM) or self-organizing feature map (SOFM) is a type of artificial neural network (ANN) that is trained using unsupervised learning to produce a low-dimensional (typically two-dimensional), discretized representation of the input space of the training samples, called a map, and is therefore a method to do dimensionality reduction.

Similarities between Eigenvalues and eigenvectors and Self-organizing map

Eigenvalues and eigenvectors and Self-organizing map have 1 thing in common (in Unionpedia): Principal component analysis.

Principal component analysis

Principal component analysis (PCA) is a statistical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables into a set of values of linearly uncorrelated variables called principal components.

Eigenvalues and eigenvectors and Principal component analysis · Principal component analysis and Self-organizing map · See more »

The list above answers the following questions

What Eigenvalues and eigenvectors and Self-organizing map have in common
What are the similarities between Eigenvalues and eigenvectors and Self-organizing map

Eigenvalues and eigenvectors and Self-organizing map Comparison

Eigenvalues and eigenvectors has 235 relations, while Self-organizing map has 54. As they have in common 1, the Jaccard index is 0.35% = 1 / (235 + 54).

References

This article shows the relationship between Eigenvalues and eigenvectors and Self-organizing map. To access each article from which the information was extracted, please visit:

Unionpedia is a concept map or semantic network organized like an encyclopedia – dictionary. It gives a brief definition of each concept and its relationships.

This is a giant online mental map that serves as a basis for concept diagrams. It's free to use and each article or document can be downloaded. It's a tool, resource or reference for study, research, education, learning or teaching, that can be used by teachers, educators, pupils or students; for the academic world: for school, primary, secondary, high school, middle, technical degree, college, university, undergraduate, master's or doctoral degrees; for papers, reports, projects, ideas, documentation, surveys, summaries, or thesis. Here is the definition, explanation, description, or the meaning of each significant on which you need information, and a list of their associated concepts as a glossary. Available in English, Spanish, Portuguese, Japanese, Chinese, French, German, Italian, Polish, Dutch, Russian, Arabic, Hindi, Swedish, Ukrainian, Hungarian, Catalan, Czech, Hebrew, Danish, Finnish, Indonesian, Norwegian, Romanian, Turkish, Vietnamese, Korean, Thai, Greek, Bulgarian, Croatian, Slovak, Lithuanian, Filipino, Latvian, Estonian and Slovenian. More languages soon.

All the information was extracted from Wikipedia, and it's available under the Creative Commons Attribution-ShareAlike License.

Unionpedia is not endorsed by or affiliated with the Wikimedia Foundation.

Google Play, Android and the Google Play logo are trademarks of Google Inc.