Sammon mapping or Sammon projection is an algorithm that maps a high-dimensional space to a space of lower dimensionality (see multidimensional… (More)

Semantic Scholar uses AI to extract papers important to this topic.

Highly Cited

2008

Highly Cited

2008

We present a new technique called “t-SNE” that visualizes high-dimensional data by giving each datapoint a location in a two or… (More)

Is this relevant?

2008

2008

We present a novel method for the visualization of speakers which is microphone independent. To solve the problem of lacking… (More)

Is this relevant?

Highly Cited

2006

Highly Cited

2006

- Gaya Chicco, Raffaele Napoli, Federico Piglione
- IEEE Transactions on Power Systems
- 2006

The recent evolution of the electricity business regulation has given new possibilities to the electricity providers for… (More)

Is this relevant?

2004

2004

- Li Yang
- Proceedings of the 17th International Conference…
- 2004

Sammon's nonlinear mapping (NLM) is an iterative procedure to project high dimensional data into low dimensional configurations… (More)

Is this relevant?

2004

2004

- János Abonyi, Robert Babuska
- 2004 IEEE International Conference on Fuzzy…
- 2004

Since in practical data mining problems high-dimensional data are clustered, the resulting clusters are high-dimensional… (More)

Is this relevant?

2003

2003

- Yong-Hyuk Kim, Byung Ro Moon
- GECCO
- 2003

It is a hard problem to understand the fitness landscape of a problem as well as the evolution of genetic algorithms. For the… (More)

Is this relevant?

2001

2001

- Manuel Martín-Merino, Alberto Muñoz
- ICANN
- 2001

Self Organizing Maps (SOM) and Sammon Mapping (SM) are two information visualization techniques widely used in the data mining… (More)

Is this relevant?

1997

1997

- Dick de Ridder, Robert P. W. Duin
- Pattern Recognition Letters
- 1997

A well-known procedure for mapping data from a high-dimensional space onto a lower-dimensional one is Sammon’s mapping. This… (More)

Is this relevant?

Review

1996

Review

1996

- Richard Dybowski, Trevor D. Collins, P. R. Weller
- Evolutionary Programming
- 1996

Understanding the evolution of a complex genetic algorithm is a non-trivial problem, however, genetic-algorithm visualization is… (More)

Is this relevant?

Highly Cited

1996

Highly Cited

1996

- David Lowe, Michael E. Tipping
- Neural Computing & Applications
- 1996

A recent novel approach to the visualisation and analysis of datasets, and one which is particularly applicable to those of a… (More)

Is this relevant?