Concepts Learning with Fuzzy Clustering and Relevance Feedback
MLDM '01 Proceedings of the Second International Workshop on Machine Learning and Data Mining in Pattern Recognition
Feature selection based on a modified fuzzy C-means algorithm with supervision
Information Sciences—Informatics and Computer Science: An International Journal
Evolutionary semi-supervised fuzzy clustering
Pattern Recognition Letters
Fuzzy clustering with a knowledge-based guidance
Pattern Recognition Letters
Data Clustering with Partial Supervision
Data Mining and Knowledge Discovery
Image retrieval by fuzzy clustering of relevance feedback records
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2
A filter bank method to construct rotationally invariant moments for pattern recognition
Pattern Recognition Letters
Control chart pattern recognition using semi-supervised learning
ACS'07 Proceedings of the 7th Conference on 7th WSEAS International Conference on Applied Computer Science - Volume 7
Automatic image pixel clustering with an improved differential evolution
Applied Soft Computing
Precision of Rough Set Clustering
RSCTC '08 Proceedings of the 6th International Conference on Rough Sets and Current Trends in Computing
Automatic Unsupervised Segmentation Methods for MRI Based on Modified Fuzzy C-Means
Fundamenta Informaticae
Selection of multiresolution rotationally invariant moments for image recognition
Mathematics and Computers in Simulation
Multi-documents Automatic Abstracting based on text clustering and semantic analysis
Knowledge-Based Systems
Mechanisms of Partial Supervision in Rough Clustering Approaches
RSKT '09 Proceedings of the 4th International Conference on Rough Sets and Knowledge Technology
Learning with Missing or Incomplete Data
ICIAP '09 Proceedings of the 15th International Conference on Image Analysis and Processing
GUEST EDITORIAL: Computational intelligence in solving bioinformatics problems
Artificial Intelligence in Medicine
Learning assignment order of instances for the constrained K-means clustering algorithm
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Clustering: A neural network approach
Neural Networks
Semi-supervised classification method for dynamic applications
Fuzzy Sets and Systems
Evolutionary and Iterative Crisp and Rough Clustering I: Theory
PReMI '09 Proceedings of the 3rd International Conference on Pattern Recognition and Machine Intelligence
A time-domain-constrained fuzzy clustering method and its application to signal analysis
Fuzzy Sets and Systems
Semi-supervised learning in knowledge discovery
Fuzzy Sets and Systems
The model of generalized partially horizontal collaborative fuzzy C-means
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
International Journal of Computational Intelligence in Bioinformatics and Systems Biology
A semi-supervised clustering algorithm for data exploration
IFSA'03 Proceedings of the 10th international fuzzy systems association World Congress conference on Fuzzy sets and systems
Data clustering with size constraints
Knowledge-Based Systems
Analysis of rough and fuzzy clustering
RSKT'10 Proceedings of the 5th international conference on Rough set and knowledge technology
Use of a fuzzy granulation--degranulation criterion for assessing cluster validity
Fuzzy Sets and Systems
Modular general fuzzy hypersphere neural network
ICOSSSE'05 Proceedings of the 4th WSEAS/IASME international conference on System science and simulation in engineering
Electrostatic field framework for supervised and semi-supervised learning from incomplete data
Natural Computing: an international journal
A semi-supervised fuzzy clustering algorithm applied to gene expression data
Pattern Recognition
Fuzzy image labeling by partially supervised shape clustering
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part II
Adaptive active classification of cell assay images
PKDD'06 Proceedings of the 10th European conference on Principle and Practice of Knowledge Discovery in Databases
User-driven fuzzy clustering: on the road to semantic classification
RSFDGrC'05 Proceedings of the 10th international conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing - Volume Part I
Semi-supervised fuzzy clustering algorithms for change detection in remote sensing images
PerMIn'12 Proceedings of the First Indo-Japan conference on Perception and Machine Intelligence
Fuzzy c-means clustering with bilateral filtering for medical image segmentation
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part I
Automatic Unsupervised Segmentation Methods for MRI Based on Modified Fuzzy C-Means
Fundamenta Informaticae
Evidential clustering or rough clustering: the choice is yours
RSKT'12 Proceedings of the 7th international conference on Rough Sets and Knowledge Technology
Correlating Fuzzy and Rough Clustering
Fundamenta Informaticae - Rough Sets and Knowledge Technology (RSKT 2010)
Clustering documents with labeled and unlabeled documents using fuzzy semi-Kmeans
Fuzzy Sets and Systems
International Journal of Approximate Reasoning
Online fuzzy medoid based clustering algorithms
Neurocomputing
GABES: A genetic algorithm based environment for SEU testing in SRAM-FPGAs
Journal of Systems Architecture: the EUROMICRO Journal
| Hi-index | 0.00 |
Presented here is a problem of fuzzy clustering with partial supervision, i.e., unsupervised learning completed in the presence of some labeled patterns. The classification information is incorporated additively as a part of an objective function utilized in the standard FUZZY ISODATA. The algorithms proposed in the paper embrace two specific learning scenarios of complete and incomplete class assignment of the labeled patterns. Numerical examples including both synthetic and real-world data arising in the realm of software engineering are also provided