Unsupervised learning: clustering; dimensionality reduction

Unsupervised learning: clustering, dimension reduction

The invention relies on a dimension reduction step followed by a logistic determination step.

35. ‘t Hooft, G. (1993) Dimensional Reduction in Quantum Gravity.

[19] t’Hooft, G. (1993) Dimensional Reduction in Quantum Gravity.

Hooft, G. (1993) Dimensional Reduction in Quantum Gravity.

[34] Hooft, G. (1993) Dimensional Reduction in Quantum Gravity.

By the same token it can be further used for dimensionality reduction.

A plurality of characteristic index elements (60) can be derived from the data stream (26) through a dimensional reduction (66).

^ Dimensional reduction is another way of modifying the number of dimensions.

But this conventional method is defective, for instance, in difficulty of dimensional reduction from an original pattern.

The created data space is then usually reduced by a following feature extraction (see also dimensionality reduction).

It was important that, using dimensional reduction, the new approach was completely independent of previous work in this model.

Importantly, by making use of dimensional reduction, the new approach was completely independent of any previous work in this model.

In most of these cases, the number of dimensions simply collapse in a process called spontaneous dimensional reduction as the scale reduces.