1839 search results - page 16 / 368 » Feature Selection in Clustering Problems |
SBACPAD
2005
IEEE
14 years 1 months ago
2005
IEEE
The time required to simulate a complete benchmark program using the cycle-accurate model of a microprocessor can be prohibitively high. One of the proposed methodologies, represe...
MM
2010
ACM
13 years 6 months ago
2010
ACM
Bag of features (BoF) representation has attracted an increasing amount of attention in large scale image processing systems. BoF representation treats images as loose collections...
PRL
2010
13 years 6 months ago
2010
: Organizing data into sensible groupings is one of the most fundamental modes of understanding and learning. As an example, a common scheme of scientific classification puts organ...
TKDE
2008
13 years 7 months ago
2008
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...
DEXAW
2009
IEEE
14 years 2 months ago
2009
IEEE
Abstract—The k-means method is a simple and fast clustering technique that exhibits the problem of specifying the optimal number of clusters preliminarily. We address the problem...