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ICDM
2002
IEEE
191views Data Mining» more  ICDM 2002»
14 years 16 days ago
Iterative Clustering of High Dimensional Text Data Augmented by Local Search
The k-means algorithm with cosine similarity, also known as the spherical k-means algorithm, is a popular method for clustering document collections. However, spherical k-means ca...
Inderjit S. Dhillon, Yuqiang Guan, J. Kogan
ACSW
2004
13 years 9 months ago
Clustering Stream Data by Regression Analysis
In data clustering, many approaches have been proposed such as K-means method and hierarchical method. One of the problems is that the results depend heavily on initial values and...
Masahiro Motoyoshi, Takao Miura, Isamu Shioya
ICML
2007
IEEE
14 years 8 months ago
Supervised clustering of streaming data for email batch detection
We address the problem of detecting batches of emails that have been created according to the same template. This problem is motivated by the desire to filter spam more effectivel...
Peter Haider, Ulf Brefeld, Tobias Scheffer
AAAI
2007
13 years 10 months ago
Temporal and Information Flow Based Event Detection from Social Text Streams
Recently, social text streams (e.g., blogs, web forums, and emails) have become ubiquitous with the evolution of the web. In some sense, social text streams are sensors of the rea...
Qiankun Zhao, Prasenjit Mitra, Bi Chen
JCP
2008
103views more  JCP 2008»
13 years 7 months ago
Weighted Clustering and Evolutionary Analysis of Hybrid Attributes Data Streams
It presents some definitions of projected cluster and projected cluster group on hybrid attributes after having given some definitions on ordered attributes and sorted attributes t...
Xinquan Chen