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» An overview of clustering methods
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SDM
2009
SIAM
225views Data Mining» more  SDM 2009»
14 years 6 months ago
Integrated KL (K-means - Laplacian) Clustering: A New Clustering Approach by Combining Attribute Data and Pairwise Relations.
Most datasets in real applications come in from multiple sources. As a result, we often have attributes information about data objects and various pairwise relations (similarity) ...
Fei Wang, Chris H. Q. Ding, Tao Li
ICDM
2009
IEEE
153views Data Mining» more  ICDM 2009»
13 years 6 months ago
A New Clustering Algorithm Based on Regions of Influence with Self-Detection of the Best Number of Clusters
Clustering methods usually require to know the best number of clusters, or another parameter, e.g. a threshold, which is not ever easy to provide. This paper proposes a new graph-b...
Fabrice Muhlenbach, Stéphane Lallich
HCI
2007
13 years 10 months ago
Designers' Perceptions of Methods of Involving and Understanding Users
Numerous methods have been developed to help designers to understand and consider the needs and desires of end-users, but many have had limited uptake in design practice. In order ...
Joy Goodman, Susannah Clarke, Patrick Langdon, P. ...
AAAI
2010
13 years 5 months ago
A Cross-Entropy Method that Optimizes Partially Decomposable Problems: A New Way to Interpret NMR Spectra
Some real-world problems are partially decomposable, in that they can be decomposed into a set of coupled subproblems, that are each relatively easy to solve. However, when these ...
Siamak (Moshen) Ravanbakhsh, Barnabás P&oac...
CF
2004
ACM
14 years 2 months ago
An information-interconnectivity-based retrieval method for network attached storage
Network attached disk storage is characterized by independent network attachment and embedded intelligence. For Internet applications, it provides the key functionality of geograp...
Iliyak Georgiev, Ivo I. Georgiev