数据场在信息表征中的应用

思维、想象和知识发现过程，实际上是在不同粒度上认识数据、概念和图像，是发现状态空间在不同抽象层次上的知识表现，是从高维数据和图像空间降维的过程，也就是丢舍不太重要的特征数据，留下主成分后的发现状态空间的知识表现．并认为数域空间中的每个数据点通过某种作用力而相互影响形成数据场．此外，阐述了数据场的主要思想并从数据场在图像数据挖掘中的应用出发，试着对形象思维的信息表征作了一些有益的尝试．

Application of Data Field in Information Token

The process of thinking, imagination, and knowledge discovery is actually cognition of data, concepts and images on different granularity. It is a kind of knowledge representation of discovery state space on different abstract administrative levels. This process is thought of as a dimensional reduction from high dimensional data and image space, that is to say, ignoring the not very important feature data and holding the principal components. It is consider that data points in data space are interacting with each other by some effect forces and in this way data field is formed. It expatiates on the main idea of data field and tries to make some useful attempts in Information Token of Thinking in Images by an application of data field in image data mining.