Automatic Subspace Clustering of High Dimensional Data

Author： Agrawal Rakesh Gehrke Johannes Gunopulos Dimitrios Raghavan Prabhakar

ISSN： 1384-5810

Source： Data Mining and Knowledge Discovery, Vol.11, Iss.1, 2005-07, pp. : 5-33

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Subspace Clustering for High-Dimensional Data Using Cluster Structure Similarity

International Journal of Intelligent Information Technologies (IJIIT), Vol. 14, Iss. 3, 2018-07 ,pp. : 38-55

IGI Global_journal

Access to resources Recommend Favorite

Visual Exploration of High‐Dimensional Data through Subspace Analysis and Dynamic Projections

COMPUTER GRAPHICS FORUM (ELECTRONIC), Vol. 34, Iss. 3, 2015-06 ,pp. : 271-280

John Wiley & Sons Inc

Access to resources Recommend Favorite

Locally adaptive metrics for clustering high dimensional data

By Domeniconi Carlotta Gunopulos Dimitrios Ma Sheng Yan Bojun Al-Razgan Muna Papadopoulos Dimitris

Data Mining and Knowledge Discovery, Vol. 14, Iss. 1, 2007-02 ,pp. : 63-97

Springer Publishing Company

Access to resources Recommend Favorite

On High Dimensional Projected Clustering of Data Streams

By Aggarwal Charu Han Jiawei Wang Jianyong Yu Philip

Data Mining and Knowledge Discovery, Vol. 10, Iss. 3, 2005-05 ,pp. : 251-273

Springer Publishing Company

Access to resources Recommend Favorite

Subspace clustering

WILEY INTERDISCIPLINARY REVIEWS: DATA MINING AND KNOWLEDGE DISCOVERY (ELECTRONIC), Vol. 2, Iss. 4, 2012-07 ,pp. : 351-364

John Wiley & Sons Inc

Access to resources Recommend Favorite