331 search results - page 45 / 67 » Possibilistic Clustering in Feature Space |
BMCBI
2005
13 years 7 months ago
2005
Background: Clustering is a key step in the analysis of gene expression data, and in fact, many classical clustering algorithms are used, or more innovative ones have been designe...
ICDE
2007
IEEE
14 years 2 months ago
2007
IEEE
Increasingly large text datasets and the high dimensionality associated with natural language create a great challenge in text mining. In this research, a systematic study is cond...
CIARP
2006
Springer
13 years 9 months ago
2006
Springer
The Neural Gas (NG) is a Vector Quantization technique where a set of prototypes self organize to represent the topology structure of the data. The learning algorithm of the Neural...
TKDE
2010
13 years 6 months ago
2010
—A major assumption in many machine learning and data mining algorithms is that the training and future data must be in the same feature space and have the same distribution. How...
GECCO
2004
Springer
14 years 1 months ago
2004
Springer
We illustrate with two simple examples how Interactive Evolutionary Computation (IEC) can be applied to Exploratory Data Analysis (EDA). IEC is particularly valuable in an EDA cont...