抄録
"Many tasks in engineering involve the process of extracting useful information from unorganized raw data. However, the task of making sense out of a large set of multidimensional data is a challenging one. To understand the meaning of raw data, it helps if their complexity can be reduced.
It is the purpose of this study to develop a new interpretation method for multidimensional data using an evolutionary clustering algorithm and demension reduction. We present some tentative conclusions and recommendation for further study."
