Chen, "Joint fingerprinting and decryption with noise-resistant for

vector quantization images," Signal Processing, vol.

Nahavandi, "Identification of concurrent control chart patterns with singular spectrum analysis and learning

vector quantization," Journal of Intelligent Manufacturing, vol.

Raut, "Detection of cancer using

vector quantization for segmentation," International Journal of Computers and Applications, vol.

Vector Quantization (VQ) is highly competitive technique for automatic speaker identification compared with Gaussian Mixture Model (GMM) (Kinnunen et al.

A strategy to cluster very large data sets is to perform

vector quantization followed by a clustering of the obtained prototypes.

In this paper, we consider distributed

vector quantization. When using a sensor network as an exploratory infrastructure, we need to transmit and store the data collected by sensors.

Genetic Algorithm and

Vector Quantization. The

vector quantization (VQ) approach is used for mapping vectors (feature extraction of input signal) from a large vector space to a finite number of regions in that space.

In this model, with

vector quantization (VQ), descriptor size can be reduced significantly; for example, in the test model (Francini et al.

Applications to Pulse Code Modulation and

Vector Quantization of Images are addressed.

Linear

Vector Quantization using Bit Mapping: In Bit-mapping LVQ the segmented characters are directly fed as an input to Neural Network for training.