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Fuzzy Clustering with Similarity Queries [article]

Wasim Huleihel, Arya Mazumdar, Soumyabrata Pal
2021 arXiv   pre-print
In particular, we provide algorithms for fuzzy clustering in this setting that asks O(𝗉𝗈𝗅𝗒(k)log n) similarity queries and run with polynomial-time-complexity, where n is the number of items.  ...  In this paper, we propose a semi-supervised active clustering framework, where the learner is allowed to interact with an oracle (domain expert), asking for the similarity between a certain set of chosen  ...  In that case, under mild conditions on the dataset, the same guarantee can be obtained with O(k 3 ) fuzzy triplet similarity queries and O(km) fuzzy pairwise similarity queries, with a time complexity  ... 
arXiv:2106.02212v2 fatcat:mtolssltnzhyhaxjgmmhaq577y

A new method for fuzzy information retrieval based on fuzzy hierarchical clustering and fuzzy inference techniques

Yih-Jen Horng, Shyi-Ming Chen, Yu-Chuan Chang, Chia-Hoang Lee
2005 IEEE transactions on fuzzy systems  
Index Terms-Fuzzy agglomerative hierarchical clustering, fuzzy information retrieval systems, fuzzy logic rules, fuzzy relationships, query expansion.  ...  First, we present a fuzzy agglomerative hierarchical clustering algorithm for clustering documents and to get the document cluster centers of document clusters.  ...  associated with the queries.  ... 
doi:10.1109/tfuzz.2004.840134 fatcat:w3afn4q2qnhgnlvldhju3nty64

Intelligent Information Retrieval Using Hybrid of Fuzzy Set and Trust

Suruchi Chawla
2017 Oriental journal of computer science and technology  
Fuzzy set based query expansion deals with imprecise and vague queries for inferring user's information need.  ...  In this paper an algorithm is designed for Intelligent Information Retrieval using hybrid of Fuzzy set and Trust in web query session mining to perform Fuzzy query expansion for inferring user's information  ...  OF all clusters i select the j th cluster similar to the information need associated with the FB.  ... 
doi:10.13005/ojcst/10.02.09 fatcat:glrm5k6i2rhitehvi7ajsu6tuy

A Hybrid Approach using Ontology Similarity and Fuzzy Logic for Semantic Question Answering [article]

Monika Rani, Maybin K. Muyeba, O. P. Vyas
2017 arXiv   pre-print
We use a Fuzzy Co-clustering algorithm to retrieve the collection of documents based on Ontology Similarity.  ...  The objective of this work is to provide retrieval system with more accurate answers than non-fuzzy Semantic Ontology approach.  ...  Fuzzy co-clustering is used to retrieve the answers by matching user's question with the existing hierarchical ontology.  ... 
arXiv:1709.09214v2 fatcat:w3snfi2m3zg53lr2mwqxuayece

Information retrieval using fuzzy c-means clustering and modified vector space model

Chandrani Ray Chowdhury, Prachet Bhuyan
2010 2010 3rd International Conference on Computer Science and Information Technology  
calculating the query and cluster similarity.  ...  In the framework a method is proposed which first calculate query and document cluster similarity which not only retrieve the documents matching query terms as well as similar to retrieved documents by  ...  The model proposed in this paper tries to remove the fuzziness involved in the procedure of matching query terms with the document terms by capturing inter document similarity which is measured by query-cluster  ... 
doi:10.1109/iccsit.2010.5564542 fatcat:ltmf3se4mra5rmt72wqccohkxm

A Comparison and Analysis of Soft Computing Techniques for Content based Image Retrieval System

S. Manoharan, S. Sathappan
2012 International Journal of Computer Applications  
Then, with the aid of GA-based similarity measure, images that are similar to the query image have been retrieved effectively.  ...  Neuro-Fuzzy Based Clustering Technique for CBIR The process of grouping a set of objects or patterns into classes of similar objects is called clustering.  ... 
doi:10.5120/9607-4238 fatcat:6uwcjr5jnvfuvcxagxuinaei44

On Studying P2P Topology Based on Modified Fuzzy Adaptive Resonance Theory [chapter]

Yufeng Wang, Wendong Wang
2006 Lecture Notes in Computer Science  
not only to categorize peers so that all the peers in a cluster were semantically similar, but, more important, to construct the P2P topology into small-world network structure.  ...  Based on the incremental clustering capability of Fuzzy Adaptive Resonance Theory (Fuzzy ART), this paper made use of the modified fuzzy ART to provide small-world P2P construction mechanism, which was  ...  Then the query profile was input into the modified fuzzy ART model to recognize the appropriate cluster matching with query profile.  ... 
doi:10.1007/11816171_50 fatcat:6ueq6lzm2rcc7eiordwt7kk3em

Processing Imprecise Database Queries by Fuzzy Clustering Algorithms

Anna Kowalczyk-Niewiadomy, Adam Pelikant
2015 Position Papers of the 2015 Federated Conference on Computer Science and Information Systems  
Index Terms-fuzzy logic, fuzzy sets, fuzzy set theory, fuzzy systems, fuzzy clustering, FSQL, fuzzy queries, imprecise queries.  ...  Presented concept is based on fuzzy sets and automatic clustering techniques that allow to build membership function and fuzzy queries.  ...  (fuzzy query with smart labels).  ... 
doi:10.15439/2015f1 dblp:conf/fedcsis/Kowalczyk-Niewiadomy15 fatcat:jax7z4sutzd77npg2ntej3tvom

Optimizing the Performance and Robustness of Type-2 Fuzzy Group Nearest-Neighbor Queries

Nasser Ghadiri, Ahmad Baraani-Dastjerdi, Nasser Ghasem-Aghaee, Mohammad A. Nematbakhsh
2011 Mobile Information Systems  
In this paper two fuzzy clustering methods combined with spatial tessellation are exploited to reduce the search space.  ...  In Group Nearest-Neighbor (GNN) queries, the goal is to find one or more points of interest with minimum sum of distance to the current location of mobile users.  ...  the type-2 fuzzy logic similarity measure.  ... 
doi:10.1155/2011/374898 fatcat:lekhotpacbhdhbccf45nb22xcu

A multilingual text mining approach to web cross-lingual text retrieval

Rowena Chau, Chung-Hsing Yeh
2004 Knowledge-Based Systems  
When language-independent concepts hidden beneath both document and query are revealed, concept-based matching is made possible. Hence, concept-based CLTR is facilitated.  ...  the multilingual concept -term relationships, in turn, are used to discover the conceptual content of the multilingual text, which is either a document containing potentially relevant information or a query  ...  Based on the hypothesis that semantically related multilingual terms representing similar concepts tend to co-occur with similar inter-and intra-document frequencies across a parallel corpus, fuzzy c-means  ... 
doi:10.1016/j.knosys.2004.04.001 fatcat:xcvrtmnhkve67eauw6ohzjpky4

Re-Ranking Retrieval Model Based on Two-Level Similarity Relation Matrices

Hee-Ju Eun
2015 International Journal of Software Engineering and Its Applications  
We also perform a cluster retrieval to reflect the user's query exactly through the similarity relation matrix satisfying the characteristics of the fuzzy compatibility relation.  ...  This paper proves the performance of a proposed re-ranking model based on the union of similarity of the fuzzy retrieval model and the document cluster retrieval model.  ...  Retrieving documents that are correlated with user query conceptually through concept network that expresses meaning relations between domain concepts with a degree of fuzzy can improve recall. [3, 4]  ... 
doi:10.14257/ijseia.2015.9.12.31 fatcat:3uerwxli2vfvpexag7jgyk3lje

Hybrid technique for colour image classification and efficient retrieval based on fuzzy logic and neural networks

Ranisha Fernando, Siddhivinayak Kulkarni
2012 The 2012 International Joint Conference on Neural Networks (IJCNN)  
The results were analysed and compared with other similar image retrieval system.  ...  This paper proposes a novel fuzzy approach to classify the colour images based on their content, to pose a query in terms of natural language and fuse the queries based on neural networks for fast and  ...  Experiments were conducted for fuzzy image classification, single query retrieval and for multiple queries. Results were compared and analysed with other similar existing technique of CBIR.  ... 
doi:10.1109/ijcnn.2012.6252587 dblp:conf/ijcnn/FernandoK12 fatcat:n2kwz3amufabtjuabponbnet6y

Fuzzy C Means Algorithm for inferring User Search Goals with Feedback Sessions
IJARCCE - Computer and Communication Engineering

N. Vidhyapriya, S. Sampath
2015 IJARCCE  
The pseudo-documents are clustered using Fuzzy C Means, the fuzzy similarity based self-constructing algorithm.  ...  First, it proposes a framework to discover different user search goals for a query by clustering the proposed feedback sessions.  ...  A fuzzy similarity-based self-constructing algorithm is used for feature clustering. The words in the feature vector of a document set are grouped into clusters, based on similarity test.  ... 
doi:10.17148/ijarcce.2015.4179 fatcat:gc7eektxafahdns3v7lcmopwam

Application of hybrid of Fuzzy Set, Trust and Genetic Algorithm in query log mining for effective Information Retrieval

Suruchi Chawla
2018 International Journal of Intelligent Systems and Applications in Engineering  
The experimental results were analyzed statistically as well as compared with GA IR, and Fuzzy Trust based IR.  ...  In this research hybrid of Fuzzy set, GA and Trust has been used together in query log mining for personalized web search based on using fuzzy queries for recommendation of optimal ranked set of trusted  ...  The session keyword vectors are clustered and therefore group clicked URLs with similar content in one cluster.  ... 
doi:10.18201/ijisae.2018637930 fatcat:ykbtkwnbo5gq5epduicq7eouha

An application of the FIS-CRM model to the FISS metasearcher: Using fuzzy synonymy and fuzzy generality for representing concepts in documents

José A. Olivas, Pablo J. Garcés, Francisco P. Romero
2003 International Journal of Approximate Reasoning  
The model has been implemented in the FISS metasearcher (Fuzzy Interrelations and Synonymy based Searcher) that, using a soft-clustering algorithm (based on the SISC algorithm), dynamically produces a  ...  The readjustment lies on the study of two types of fuzzy interrelations between terms: the fuzzy synonymy interrelation and the fuzzy generality interrelations ("broader than" and "narrower than" interrelations  ...  In order to get a hierarchical structure, big clusters and the bag cluster (formed by the less similar documents) are reprocessed with the same method.  ... 
doi:10.1016/j.ijar.2003.07.008 fatcat:xacwash3vrh7vj42nj5kf5ktye
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