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Feature Selection as Retrospective Pruning in Hierarchical Clustering.

. IDA, volume 1642 of Lecture Notes in Computer Science, page 75-86. Springer, (1999)

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Feature Selection as Retrospective Pruning in Hierarchical Clustering.. IDA, volume 1642 of Lecture Notes in Computer Science, page 75-86. Springer, (1999)Exploiting Inductive Bias Shift in Knowledge Acquisition from Ill-Structured Domains., and . EKAW, volume 1319 of Lecture Notes in Computer Science, page 377-382. Springer, (1997)Dependency-based feature selection for clustering symbolic data.. Intell. Data Anal., 4 (1): 19-28 (2000)Feature Selection and Incremental Learning of Probabilistic Concept Hierarchies.. ICML, page 951-958. Morgan Kaufmann, (2000)Feature Selection as a Preprocessing Step for Hierarchical Clustering.. ICML, page 389-397. Morgan Kaufmann, (1999)A Buffering Strategy to Avoid Ordering Effects in Clustering., and . ECML, volume 1398 of Lecture Notes in Computer Science, page 316-321. Springer, (1998)Generality-Based Conceptual Clustering with Probabilistic Concepts., and . IEEE Trans. Pattern Anal. Mach. Intell., 23 (2): 196-206 (2001)Inductive Hypothesis Validation and Bias Selection in Unsupervised Learning., and . EUROVAV, page 169-179. Katholieke Universiteit Leuven, Belgium, (1997)Supporting teachers in collaborative student modeling: A framework and an implementation., , , and . Expert Syst. Appl., 36 (2): 2260-2265 (2009)Robust Incremental Clustering with Bad Instance Orderings: A New Strategy., and . IBERAMIA, volume 1484 of Lecture Notes in Computer Science, page 136-147. Springer, (1998)