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SMC
2007
IEEE
110views Control Systems» more  SMC 2007»
15 years 9 months ago
A validity index based on cluster symmetry
— An important consideration in clustering is the determination of the correct number of clusters and the appropriate partitioning of a given data set. In this paper, a newly dev...
Sriparna Saha, Sanghamitra Bandyopadhyay
KDD
2009
ACM
160views Data Mining» more  KDD 2009»
15 years 10 months ago
Surveying the complementary role of automatic data analysis and visualization in knowledge discovery
The aim of this work is to survey and reflect on the various ways to integrate visualization and data mining techniques toward a mixed-initiative knowledge discovery taking the be...
Enrico Bertini, Denis Lalanne
DATAMINE
2002
147views more  DATAMINE 2002»
15 years 3 months ago
Discretization: An Enabling Technique
Discrete values have important roles in data mining and knowledge discovery. They are about intervals of numbers which are more concise to represent and specify, easier to use and ...
Huan Liu, Farhad Hussain, Chew Lim Tan, Manoranjan...
VIS
2004
IEEE
148views Visualization» more  VIS 2004»
16 years 4 months ago
Detection and Visualization of Anomalous Structures in Molecular Dynamics Simulation Data
In this article we explore techniques to detect and visualize features in data from molecular dynamics (MD) simulations. Although the techniques proposed are general, we focus on ...
John Wilkins, Kaden Hazzard, Raghu Machiraju, Same...
ICMLA
2008
15 years 4 months ago
Farthest Centroids Divisive Clustering
A method is presented to partition a given set of data entries embedded in Euclidean space by recursively bisecting clusters into smaller ones. The initial set is subdivided into ...
Haw-ren Fang, Yousef Saad