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DAGM
2008
Springer
15 years 1 months ago
Boosting for Model-Based Data Clustering
In this paper a novel and generic approach for model-based data clustering in a boosting framework is presented. This method uses the forward stagewise additive modeling to learn t...
Amir Saffari, Horst Bischof
BMVC
1998
15 years 1 months ago
A Method for Dynamic Clustering of Data
This paper describes a method for the segmentation of dynamic data. It extends well known algorithms developed in the context of static clustering (e.g., the c-means algorithm, Ko...
Arnaldo J. Abrantes, Jorge S. Marques
IJCAI
2003
15 years 1 months ago
Data Clustering: Principal Components, Hopfield and Self-Aggregation Networks
We present a coherent framework for data clustering. Starting with a Hopfield network, we show the solutions for several well-motivated clustering objective functions are principa...
Chris H. Q. Ding
EMNLP
2007
15 years 1 months ago
V-Measure: A Conditional Entropy-Based External Cluster Evaluation Measure
We present V-measure, an external entropybased cluster evaluation measure. Vmeasure provides an elegant solution to many problems that affect previously defined cluster evaluatio...
Andrew Rosenberg, Julia Hirschberg
FLAIRS
2007
15 years 2 months ago
Improving Cluster Method Quality by Validity Indices
Clustering attempts to discover significant groups present in a data set. It is an unsupervised process. It is difficult to define when a clustering result is acceptable. Thus,...
Narjes Hachani, Habib Ounelli