8 search results - page 1 / 2 » Data Clustering: Principal Components, Hopfield and Self-Agg... |
IJCAI
2003
13 years 5 months ago
2003
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...
IJCNN
2000
IEEE
13 years 8 months ago
2000
IEEE
Fuzzy c-varieties (FCV) is one of the clustering algorithms in which the prototypes are multi-dimensional linear varieties. The linear varieties are represented by some local prin...
ICIP
2002
IEEE
14 years 6 months ago
2002
IEEE
This paper is organized as follows. In Section 2, we formulate the proposed UMPC method for modeling nonstationary and multi-modal data. Both MPC and UPC are shown to be special ca...
NC
2007
13 years 4 months ago
2007
Sorting of the extracellularly recorded spikes is a basic prerequisite for analysis of the cooperative neural behavior and neural code. Fundamentally the sorting performance is de�...
ISNN
2004
Springer
13 years 9 months ago
2004
Springer
This paper proposes a novel clustering analysis algorithm based on principal component analysis (PCA) and self-organizing maps (SOMs) for clustering the gene expression patterns. T...