What steps are necessary to get the right amount of qualitative data for analysis?

This article provides insight into recent advances in developing effective approaches to clustering data.

A clear compromise between parametric and metric methods is the use of neural networks to solve classification problems.

Data cleansing is mandatory, as the value of the repository is determined by the quality of the information collected.

There are many well-known methods for solving analysis problems. Why do they often not work?