Sciweavers

2596 search results - page 9 / 520
» Classes and clusters in data analysis
Sort
View
IEEECIT
2010
IEEE
14 years 7 months ago
The Research on Teaching Method of Basics Course of Computer based on Cluster Analysis
Due to the difference between rural and urban and regional disparity of computer basic education produced at their middle school period, computer application level of the freshmen ...
ZhiXin Tie, Rong Jin, Hong Zhuang, Zhaoqing Wang
JCB
2002
160views more  JCB 2002»
14 years 9 months ago
Inference from Clustering with Application to Gene-Expression Microarrays
There are many algorithms to cluster sample data points based on nearness or a similarity measure. Often the implication is that points in different clusters come from different u...
Edward R. Dougherty, Junior Barrera, Marcel Brun, ...
ICDM
2003
IEEE
88views Data Mining» more  ICDM 2003»
15 years 3 months ago
Class Decomposition via Clustering: A New Framework for Low-Variance Classifiers
Ricardo Vilalta, Murali-Krishna Achari, Christoph ...
ACISICIS
2007
IEEE
15 years 4 months ago
Minimum Message Length Clustering of Spatially-Correlated Data with Varying Inter-Class Penalties
We present here some applications of the Minimum Message Length (MML) principle to spatially correlated data. Discrete valued Markov Random Fields are used to model spatial correl...
Gerhard Visser, David L. Dowe
ISAAC
2009
Springer
175views Algorithms» more  ISAAC 2009»
15 years 4 months ago
Worst-Case and Smoothed Analysis of k-Means Clustering with Bregman Divergences
The k-means algorithm is the method of choice for clustering large-scale data sets and it performs exceedingly well in practice. Most of the theoretical work is restricted to the c...
Bodo Manthey, Heiko Röglin