Thus a SS/OSF clustering method is proposed for high-dimensional sparse data object based on set similarity(SS) and object set feature(OSF) with the addability of object set features.

An exploration into various proofs of a theorem about characteristic vectors and zero-input responses;

A Method Of Finding The Solution Of Master Characteristic-Root And Characteristic Vector Of The Reciprocal Matrix;

The characteristic vectors are composed of computed MFCC(MEL frequency cepstrum coefficient) and difference MFCC(difference MEL frequency cepstrum coefficient) as well as wavelet packet characteristic entropy in every frequency band after wavelet packet is decomposed.

Analysis of the oil pipeline leakage feature vector extraction based on wavelet packet;

Distributed clustering algorithm based on feature vector;

A Colors Image Retrieve Method by Using Multi-Feature Vector;

Research of cluster based on feature vectors in autonomic database;

The auto-regressive parameters and the variance of remnant are regarded as the feature vectors.

Introduces the method of analog circuit faults diagnosis based on neural network and the theory of wavelet neural network,offers the method which used the output sensitivity analysis and multi-frequency test to extract faults feature vectors,the simulation result shows that the wavelet neural network has the properties of fast convergence and accurate diagnosis as a faults classifier.