879 search results - page 14 / 176 » Forecasting high-dimensional data |
SDM
2004
SIAM
14 years 11 months ago
2004
SIAM
Clustering suffers from the curse of dimensionality, and similarity functions that use all input features with equal relevance may not be effective. We introduce an algorithm that...
UAI
2000
14 years 11 months ago
2000
This paper is about the use of metric data structures in high-dimensionalor non-Euclidean space to permit cached sufficientstatisticsaccelerationsof learning algorithms. It has re...
CBMS
2003
IEEE
15 years 1 months ago
2003
IEEE
This article addresses 2-dimensional layout of high-dimensional biomedical datasets, which is useful for browsing them efficiently. We employ the Isomap technique, which is based ...
PAKDD
2005
ACM
15 years 3 months ago
2005
ACM
In many modern application ranges high-dimensional feature vectors are used to model complex real-world objects. Often these objects reside on different local sites. In this paper,...
ICDM
2002
IEEE
15 years 2 months ago
2002
IEEE
The k-means algorithm with cosine similarity, also known as the spherical k-means algorithm, is a popular method for clustering document collections. However, spherical k-means ca...