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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Famous quotes containing the words conceptual and/or data:
“Entification begins at arms length; the points of condensation in the primordial conceptual scheme are things glimpsed, not glimpses.”
—Willard Van Orman Quine (b. 1908)
“To write it, it took three months; to conceive it three minutes; to collect the data in itall my life.”
—F. Scott Fitzgerald (18961940)