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» A Method for Dynamic Clustering of Data
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PAKDD
2004
ACM
183views Data Mining» more  PAKDD 2004»
15 years 10 months ago
Constraint-Based Graph Clustering through Node Sequencing and Partitioning
This paper proposes a two-step graph partitioning method to discover constrained clusters with an objective function that follows the well-known minmax clustering principle. Compar...
Yu Qian, Kang Zhang, Wei Lai
SDM
2010
SIAM
213views Data Mining» more  SDM 2010»
15 years 6 months ago
Spectral Analysis of Signed Graphs for Clustering, Prediction and Visualization
We study the application of spectral clustering, prediction and visualization methods to graphs with negatively weighted edges. We show that several characteristic matrices of gra...
Jérôme Kunegis, Stephan Schmidt, Andr...
JCP
2007
149views more  JCP 2007»
15 years 4 months ago
Partitional Clustering Techniques for Multi-Spectral Image Segmentation
Abstract— Analyzing unknown data sets such as multispectral images often requires unsupervised techniques. Data clustering is a well known and widely used approach in such cases....
Danielle Nuzillard, Cosmin Lazar
SDM
2007
SIAM
187views Data Mining» more  SDM 2007»
15 years 6 months ago
Topic Models over Text Streams: A Study of Batch and Online Unsupervised Learning
Topic modeling techniques have widespread use in text data mining applications. Some applications use batch models, which perform clustering on the document collection in aggregat...
Arindam Banerjee, Sugato Basu
GECCO
2008
Springer
112views Optimization» more  GECCO 2008»
15 years 6 months ago
Handling dynamic data structures in search based testing
There has been little attention to search based test data generation in the presence of pointer inputs and dynamic data structures, an area in which recent concolic methods have e...
Kiran Lakhotia, Mark Harman, Phil McMinn