34 search results - page 3 / 7 » On K-Means Cluster Preservation Using Quantization Schemes |
ESANN
2006
13 years 7 months ago
2006
We explore the capability of the Self Organizing Map for structured data (SOM-SD) to compress continuous time data recorded from a kinematic tree, which can represent a robot or an...
WIRN
2005
Springer
13 years 11 months ago
2005
Springer
We present an algorithmic scheme for unsupervised cluster ensembles, based on randomized projections between metric spaces, by which a substantial dimensionality reduction is obtai...
MCS
2007
Springer
13 years 12 months ago
2007
Springer
A new scheme for the optimization of codebook sizes for HMMs and the generation of HMM ensembles is proposed in this paper. In a discrete HMM, the vector quantization procedure and...
MMM
2007
Springer
14 years 1 days ago
2007
Springer
This paper presents a fragile watermarking technique to tamper proof (Mocap) motion capture data. The technique visualizes 3D Mocap data as a series of cluster of points. Watermark...
GECCO
2003
Springer
13 years 11 months ago
2003
Springer
In this paper, we present a novel evolutionary algorithm, called NOCEA, which is suitable for Data Mining (DM) clustering applications. NOCEA evolves individuals that consist of a ...