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KDD
2004
ACM
624views Data Mining» more  KDD 2004»
14 years 29 days ago
Programming the K-means clustering algorithm in SQL
Using SQL has not been considered an efficient and feasible way to implement data mining algorithms. Although this is true for many data mining, machine learning and statistical a...
Carlos Ordonez
ISMIS
2009
Springer
14 years 2 months ago
Fuzzy Clustering for Categorical Spaces
Abstract. A multi-relational clustering method is presented which can be applied to complex knowledge bases storing resources expressed in the standard Semantic Web languages. It a...
Nicola Fanizzi, Claudia d'Amato, Floriana Esposito
EOR
2002
105views more  EOR 2002»
13 years 7 months ago
Review of properties of different precedence graphs for scheduling problems
Precedence constraints are a part of a definition of any scheduling problem. After recalling, in precise graph-theoretical terms, the relations between task-on-arc and task-on-nod...
Jacek Blazewicz, Daniel Kobler
NIPS
2004
13 years 9 months ago
Maximum Margin Clustering
We propose a new method for clustering based on finding maximum margin hyperplanes through data. By reformulating the problem in terms of the implied equivalence relation matrix, ...
Linli Xu, James Neufeld, Bryce Larson, Dale Schuur...
EMNLP
2004
13 years 9 months ago
Attribute-Based and Value-Based Clustering: An Evaluation
In most research on concept acquisition from corpora, concepts are modeled as vectors of relations extracted from syntactic structures. In the case of modifiers, these relations o...
Abdulrahman Almuhareb, Massimo Poesio