[HTML][HTML] K-means 算法研究综述
吴夙慧， 成颖， 郑彦宁， 潘云涛 - 数据分析与知识发现, 2011 - manu44.magtech.com.cn
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指南 出版道德声明 征订&广告 English 基本情况 收录获奖 联系方式 编委会 审稿专家 编辑部 投稿 …
Improving the performance of k-means for color quantization
ME Celebi - Image and Vision Computing, 2011 - Elsevier
Color quantization is an important operation with many applications in graphics and image
processing. Most quantization methods are essentially based on data clustering algorithms …
processing. Most quantization methods are essentially based on data clustering algorithms …
An initialization method to simultaneously find initial cluster centers and the number of clusters for clustering categorical data
The leading partitional clustering technique, k-modes, is one of the most computationally
efficient clustering methods for categorical data. However, in the k-modes-type algorithms …
efficient clustering methods for categorical data. However, in the k-modes-type algorithms …
MST-Based Cluster Initialization for K-Means
Clustering is an exploratory data analysis tool that has gained enormous attention in the
recent years specifically for gene expression data analysis. The K-means clustering is a …
recent years specifically for gene expression data analysis. The K-means clustering is a …
A hybrid ACO-GRASP algorithm for clustering analysis
Cluster analysis is an important tool for data exploration and it has been applied in a wide
variety of fields like engineering, economics, computer sciences, life and medical sciences …
variety of fields like engineering, economics, computer sciences, life and medical sciences …
Gene expression data clustering analysis: A survey
S Nagi, DK Bhattacharyya… - 2011 2nd National …, 2011 - ieeexplore.ieee.org
The advent of DNA microarray technology has enabled biologists to monitor the expression
levels (MRNA) of thousands of genes simultaneously. In this survey, we address various …
levels (MRNA) of thousands of genes simultaneously. In this survey, we address various …
Multi-objective clustering with data-and human-driven metrics
YS Kim - Journal of Computer Information Systems, 2011 - Taylor & Francis
While the usefulness of clustering analysis for knowledge discovery and information
management is well accepted, it is difficult to objectively estimate the quality of clusters due …
management is well accepted, it is difficult to objectively estimate the quality of clusters due …
Una metodología de minería de datos para la agrupación de series temporales: aplicación al sector de la construcción residencial
M Ferrán Aranaz - 2011 - docta.ucm.es
El análisis de series temporales es fundamental no sólo en la economía, sino en campos
tan diversos como, por ejemplo, la ingeniería, la biología, la medicina, la psicología, la …
tan diversos como, por ejemplo, la ingeniería, la biología, la medicina, la psicología, la …
[图书][B] Network clustering in vehicular communication networks
W Li - 2011 - library-archives.canada.ca
Abstract<? Pub Inc> This thesis proposes a clustering algorithm for vehicular communication
networks. A novel clustering metric and an improved clustering framework are introduced …
networks. A novel clustering metric and an improved clustering framework are introduced …
[图书][B] Una metodología de minería de datos para la agrupación de series temporales: aplicación al sector de la construcción residencial
El análisis de series temporales es fundamental no sólo en la economía, sino en campos
tan diversos como, por ejemplo, la ingeniería, la biología, la medicina, la psicología, la …
tan diversos como, por ejemplo, la ingeniería, la biología, la medicina, la psicología, la …