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» On the Performance of Ant-based Clustering
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SETN
2004
Springer
16 years 1 days ago
Incremental Mixture Learning for Clustering Discrete Data
Abstract. This paper elaborates on an efficient approach for clustering discrete data by incrementally building multinomial mixture models through likelihood maximization using the...
Konstantinos Blekas, Aristidis Likas
ICDM
2003
IEEE
104views Data Mining» more  ICDM 2003»
16 years 3 hour ago
Localized Prediction of Continuous Target Variables Using Hierarchical Clustering
In this paper, we propose a novel technique for the efficient prediction of multiple continuous target variables from high-dimensional and heterogeneous data sets using a hierarch...
Aleksandar Lazarevic, Ramdev Kanapady, Chandrika K...
167
Voted
WIDM
2003
ACM
15 years 12 months ago
Clustering documents in a web directory
Hierarchical categorization of documents is a task receiving growing interest due to the widespread proliferation of topic hierarchies for text documents. The worst problem of hie...
Giordano Adami, Paolo Avesani, Diego Sona
BTW
2003
Springer
109views Database» more  BTW 2003»
15 years 12 months ago
Transbase: a Leading-edge ROLAP Engine Supporting Multidimensional Indexing and Hierarchy Clustering
: Analysis-oriented database applications, such as data warehousing or customer relationship management, play a crucial role in the database area. In general, the multidimensional ...
Roland Pieringer, Klaus Elhardt, Frank Ramsak, Vol...
ICANN
2003
Springer
15 years 12 months ago
Expectation-MiniMax Approach to Clustering Analysis
Abstract. This paper proposes a general approach named ExpectationMiniMax (EMM) for clustering analysis without knowing the cluster number. It describes the contrast function of Ex...
Yiu-ming Cheung