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FUIN
2011
358views Cryptology» more  FUIN 2011»
14 years 10 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...
FUZZIEEE
2007
IEEE
16 years 23 days ago
Single Pass Fuzzy C Means
— Recently several algorithms for clustering large data sets or streaming data sets have been proposed. Most of them address the crisp case of clustering, which cannot be easily ...
Prodip Hore, Lawrence O. Hall, Dmitry B. Goldgof
CLEIEJ
2007
203views more  CLEIEJ 2007»
15 years 6 months ago
Optimization Criteria for Effort Estimation using Fuzzy Technique
Effective cost estimation is the most challenging activity in software development. Software cost estimation is not an exact science. Cost estimation process involves a series of ...
Harish Mittal, Pradeep Bhatia
EUSFLAT
2009
123views Fuzzy Logic» more  EUSFLAT 2009»
15 years 4 months ago
A New Fuzzy Noise-Rejection Data Partitioning Algorithm with Revised Mahalanobis Distance
Fuzzy C-Means (FCM) and hard clustering are the most common tools for data partitioning. However, the presence of noisy observations in the data may cause generation of completely ...
Mohammad Hossein Fazel Zarandi, Milad Avazbeigi, I...
TFS
2011
194views Education» more  TFS 2011»
15 years 1 months ago
Top-Down Induction of Fuzzy Pattern Trees
Fuzzy pattern tree induction was recently introduced as a novel machine learning method for classification. Roughly speaking, a pattern tree is a hierarchical, tree-like structur...
R. Senge, Eyke Hüllermeier