184 search results - page 24 / 37 » Random Projection for High Dimensional Data Clustering: A Cl... |
KDD
2002
ACM
14 years 9 months ago
2002
ACM
The goal of the knowledge discovery and data mining is to extract the useful knowledge from the given data. Visualization enables us to find structures, features, patterns, and re...
JMLR
2012
11 years 11 months ago
2012
Temporal Clustering (TC) refers to the factorization of multiple time series into a set of non-overlapping segments that belong to k temporal clusters. Existing methods based on e...
EGITALY
2006
13 years 10 months ago
2006
In this paper, a new segmentation approach for sets of 3D unorganized points is proposed. The method is based on a clustering procedure that separates the modes of a non-parametri...
NIPS
2000
13 years 10 months ago
2000
We present a novel method for clustering using the support vector machine approach. Data points are mapped to a high dimensional feature space, where support vectors are used to d...
SCHOLARPEDIA
2008
13 years 7 months ago
2008
We present a novel method for clustering using the support vector machine approach. Data points are mapped to a high dimensional feature space, where support vectors are used to d...