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» Stability of k -Means Clustering
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DCG
2007
77views more  DCG 2007»
13 years 8 months ago
Stability of Critical Points with Interval Persistence
Scalar functions defined on a topological space Ω are at the core of many applications such as shape matching, visualization and physical simulations. Topological persistence i...
Tamal K. Dey, Rephael Wenger
TSMC
1998
135views more  TSMC 1998»
13 years 7 months ago
Universal stabilization using control Lyapunov functions, adaptive derivative feedback, and neural network approximators
— In this paper, the problem of stabilization of unknown nonlinear dynamical systems is considered. An adaptive feedback law is constructed that is based on the switching adaptiv...
Elias B. Kosmatopoulos
ISCAS
2005
IEEE
179views Hardware» more  ISCAS 2005»
14 years 1 months ago
Robust stabilization of control systems using piecewise linear Lyapunov functions and evolutionary algorithm
— Piecewise linear Lyapunov functions are used to design control gain matrices so that closed systems are robust stable and attractive regions are expanded as large as possible i...
K. Tagawa, Y. Ohta
ISBI
2008
IEEE
14 years 8 months ago
Defining cortical sulcus patterns using partial clustering based on bootstrap and bagging
The cortical folding patterns are very different from one individual to another. Here we try to find folding patterns automatically using large-scale datasets by non-supervised cl...
Zhong Yi Sun, Denis Rivière, Edouard Duches...
TKDE
2008
197views more  TKDE 2008»
13 years 8 months ago
Agglomerative Fuzzy K-Means Clustering Algorithm with Selection of Number of Clusters
In this paper, we present an agglomerative fuzzy K-Means clustering algorithm for numerical data, an extension to the standard fuzzy K-Means algorithm by introducing a penalty term...
Mark Junjie Li, Michael K. Ng, Yiu-ming Cheung, Jo...