Conceptual Clustering Vs. Data Clustering
Conceptual clustering is obviously closely related to data clustering; however, in conceptual clustering it is not only the inherent structure of the data that drives cluster formation, but also the description language which is available to the learner. Thus, a statistically strong grouping in the data may fail to be extracted by the learner if the prevailing concept description language is incapable of describing that particular regularity. In most implementations, the description language has been limited to feature conjunction, although in COBWEB (see "COBWEB" below), the feature language is probabilistic.
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“Pure experience is the name I gave to the immediate flux of life which furnishes the material to our later reflection with its conceptual categories.”
—William James (18421910)
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—Grace Baruch (20th century)