1301 search results - page 146 / 261 » Default Clustering from Sparse Data Sets |
CSDA
2006
13 years 9 months ago
2006
A new method to detect different linear structures in a data set, called Linear Grouping Algorithm (LGA), is proposed. LGA is useful for investigating potential linear patterns in...
ICDCS
2012
IEEE
11 years 11 months ago
2012
IEEE
Operational network data, management data such as customer care call logs and equipment system logs, is a very important source of information for network operators to detect prob...
MLDM
2009
Springer
14 years 1 months ago
2009
Springer
The induction of knowledge from a data set relies in the execution of multiple data mining actions: to apply filters to clean and select the data, to train different algorithms (...
ICDIM
2010
IEEE
13 years 7 months ago
2010
IEEE
Data mining aims at extraction of previously unidentified information from large databases. It can be viewed as an automated application of algorithms to discover hidden patterns a...
COMGEO
2004
ACM
13 years 9 months ago
2004
ACM
In k-means clustering we are given a set of n data points in d-dimensional space d and an integer k, and the problem is to determine a set of k points in d , called centers, to mi...