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» A Novel Fuzzy Kernel C-Means Algorithm for Document Clusteri...
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AIRS
2008
Springer
13 years 11 months ago
A Novel Fuzzy Kernel C-Means Algorithm for Document Clustering
Yingshun Yin, Xiaobin Zhang, Baojun Miao, Lili Gao
ACL
2009
13 years 2 months ago
Profile Based Cross-Document Coreference Using Kernelized Fuzzy Relational Clustering
Coreferencing entities across documents in a large corpus enables advanced document understanding tasks such as question answering. This paper presents a novel cross document core...
Jian Huang 0002, Sarah M. Taylor, Jonathan L. Smit...
FUIN
2011
358views Cryptology» more  FUIN 2011»
12 years 8 months ago
Unsupervised and Supervised Learning Approaches Together for Microarray Analysis
In this article, a novel concept is introduced by using both unsupervised and supervised learning. For unsupervised learning, the problem of fuzzy clustering in microarray data as ...
Indrajit Saha, Ujjwal Maulik, Sanghamitra Bandyopa...
PAKDD
2007
ACM
224views Data Mining» more  PAKDD 2007»
13 years 10 months ago
Graph Nodes Clustering Based on the Commute-Time Kernel
This work presents a kernel method for clustering the nodes of a weighted, undirected, graph. The algorithm is based on a two-step procedure. First, the sigmoid commute-time kernel...
Luh Yen, François Fouss, Christine Decaeste...
IJIS
2008
123views more  IJIS 2008»
13 years 4 months ago
Algorithms of nonlinear document clustering based on fuzzy multiset model
Abstract: Fuzzy multiset is applicable as a model of information retrieval because it has the mathematical structure which expresses the number and the degree of attribution of an ...
Kiyotaka Mizutani, Ryo Inokuchi, Sadaaki Miyamoto