Filters








28,808 Hits in 6.2 sec

Query-based Multi-Document Summarization by Clustering of Documents

Gopal K. R. Naveen, Prema Nedungadi
2014 Proceedings of the 2014 International Conference on Interdisciplinary Advances in Applied Computing - ICONIAAC '14  
In the Clustering phase, we extend the Potential-based Hierarchical Agglomerative (PHA) clustering method to a hybrid PHA-ClusteringGain-K-Means clustering approach.  ...  Our studies using the DUC 2002 dataset show an increase in both the efficiency and accuracy of clusters when compared to both the conventional Hierarchical Agglomerative Clustering (HAC) algorithm and  ...  The proposed hybrid clustering approach is more accurate and efficient than the conventional HAC meth od and the PHA method.  ... 
doi:10.1145/2660859.2660972 fatcat:eacyurgeargvldp6au7pm4mbcy

Exploration of Various Clustering Algorithms for Text Mining

Neha Garg, R.K. Gupta
2018 International Journal of Education and Management Engineering  
Searching of documents can be made more efficient and effective if documents are clustered on the premise of their contents.  ...  Further, author has likewise examined the key challenges of clustering algorithms being used for effective clustering of documents.  ...  Hierarchical Method A Hierarchical Clustering method makes a hierarchical decomposition of the documents in a dataset by either merging or splitting method.  ... 
doi:10.5815/ijeme.2018.04.02 fatcat:q56doszilngmberfregiabubhy

HIERARCHAL CLUSTERING AND SIMILARITY MEASURES ALONG WITH MULTI REPRESENTATION

A Lakshmi Deepthi .
2013 International Journal of Research in Engineering and Technology  
All clustering methods have to assume some cluster relationship on the list of data objects that they really are applied on.  ...  With this paper, we analyzed existing multi-viewpoint based similarity measure and two related clustering methods.  ...  browsing hierarchical structure from hierarchical clustering method.  ... 
doi:10.15623/ijret.2013.0208012 fatcat:ck7bwdueyveirhlvihfazvxqh4

Advances in Meta-Heuristic Optimization Algorithms in Big Data Text Clustering

Laith Abualigah, Amir H. Gandomi, Mohamed Abd Elaziz, Husam Al Hamad, Mahmoud Omari, Mohammad Alshinwan, Ahmad M. Khasawneh
2021 Electronics  
This paper reviews all of the relevant literature on meta-heuristic-based text clustering applications, including many variants, such as basic, modified, hybridized, and multi-objective methods.  ...  These Artificial Intelligence (AI) algorithms are recognized as promising swarm intelligence methods due to their successful ability to solve machine learning problems, especially text clustering problems  ...  Hybrid Clustering Techniques Document clustering is seen as an effective method for document organization and browsing in machine learning as it becomes an essential area of study.  ... 
doi:10.3390/electronics10020101 fatcat:fb3sopje4fegphs5b6g673ipqa

An Efficient Hybrid Hierarchical Agglomerative Clustering (HHAC) Technique for Partitioning Large Data Sets [chapter]

P. A. Vijaya, M. Narasimha Murty, D. K. Subramanian
2005 Lecture Notes in Computer Science  
In this paper, an efficient Hybrid Hierarchical Agglomerative Clustering (HHAC) technique is proposed for effective clustering and prototype selection for pattern classification.  ...  Thus, this hybrid scheme would be suitable for clustering large data sets and we can get a hierarchical structure consisting of clusters and subclusters.  ...  In this paper, we propose a hybrid clustering method which combines the characteristics of an incremental, partitional clustering algorithm -leader and a hierarchical agglomerative clustering scheme.  ... 
doi:10.1007/11590316_92 fatcat:57omfwgx6felhaqhf5fjowz77q

Semantic based Document Clustering: A Detailed Review

Neepa Shah, Sunita Mahajan
2012 International Journal of Computer Applications  
Hierarchical methods are classified into agglomerative methods and divisive methods. In an agglomerative method, each object forms a cluster.  ...  The key idea of HFCR is the formulation of the dual-partitioning approaches for fuzzy co-clustering by adopting an efficient and practical heuristic method.  ... 
doi:10.5120/8202-1598 fatcat:mb5hph2d6vhofmyxuyib7srgqq

A Hybrid Context Based Approach for Web Information Retrieval

W. Aisha Banu, P. Sheikh Abdul Kader
2010 International Journal of Computer Applications  
This work proposes a hybrid approach to content clustering that combines the best of the web information retrieval methods and also uses the personal preference information of the users modeling a wide  ...  These algorithms are either content based or snippet based and perform a clustered outcome re-ranking of the content for the user.  ...  The techniques used in the sentences are the Suffix tree clustering and Singular Value Decomposition method. The frequent item set method is used in hierarchical technique.  ... 
doi:10.5120/1493-2010 fatcat:cm4kilsmfrartia4cfoosncz6i

Improving Weak Queries using Local Cluster Analysis as a Preliminary Framework

Amir H. Jadidinejad, Hossein Sadr
2015 Indian Journal of Science and Technology  
The clustering method is notably an important part in our approach.  ...  efficiency and effectiveness in the proposed approach.  ...  In general, an agglomeration-based hierarchical method starts with a disjoint set of clusters, placing each data object into an individual cluster and then merges pairs of clusters until the number of  ... 
doi:10.17485/ijst/2015/v8i15/46754 fatcat:u2qpykba5bgcfo3pxip2ljd27u

Document Clustering: A Review

Sunita Bisht, Amit Paul
2013 International Journal of Computer Applications  
Keywords: document clustering, hierarchical clustering, partitioning clustering, frequent item set, vector space model.  ...  However several attempts have been made to develop efficient document clustering algorithms but most of the clustering methods suffer from challenges in dealing with problems of high dimensionality, scalability  ...  Hence exploiting an effective and efficient method in text document clustering would be an essential direction for research in text clustering. means (McQueen 1967) is the simplest and most commonly used  ... 
doi:10.5120/12787-0024 fatcat:t3p5rvayyvbclbilono5oi6rey

Evaluation of text document clustering approach based on particle swarm optimization

Stuti Karol, Veenu Mangat
2013 Open Computer Science  
This paper proposes two techniques for efficient document clustering involving the application of soft computing approach as an intelligent hybrid approach PSO algorithm.  ...  Fast and high-quality document clustering algorithms play an important role in effectively navigating, summarizing, and organizing information.  ...  , this is not required in hierarchical clustering methods.  ... 
doi:10.2478/s13537-013-0104-2 fatcat:aqkdvyg5cvfpfgk6amqghgs6fq

A Survey on Unsupervised Clustering Algorithm based on K-Means Clustering

Yogiraj Singh, Ashish Mohan
2016 International Journal of Computer Applications  
Clustering is an unsupervised classification that's the partitioning of a data set in a set of meaningful subsets .Machine learning is based on extract and mine the invisible, meaningful data from mountain  ...  A proposed algorithm is minimizing error and optimization in cluster and also the effectiveness of the proposed clustering algorithm.  ...  Authors used PSO, K-Means and hybrid PSO clustering algorithm on four document datasets which are derived from Text Retrieval Conference (TREC) and contains 414, 313, 204, 878 documents respectively.  ... 
doi:10.5120/ijca2016912481 fatcat:p35yfkg3uzgavba3lm6tmpjrmq

Efficient Big Text Data Clustering Algorithms using Hadoop and Spark

Sergios Gerakidis, Sofia Megarchioti, Basilis Mamalis
2021 International Journal of Computer Applications  
and (b) a hybrid clustering approach based on a customized version of the Buckshot algorithm, which first applies a hierarchical clustering procedure on a sample of the input dataset and then it uses the  ...  Document clustering is a traditional, efficient and yet quite effective, text mining technique when we need to get a better insight of the documents of a collection that could be grouped together.  ...  The Buckshot clustering approach is an adequate hybrid clustering method, mainly based on the combination of hierarchical and partitioning clustering techniques.  ... 
doi:10.5120/ijca2021921030 fatcat:qypgrbagcza4je5lt3fyxmd2q4

Review and Comparative Analysis of Topic Identification Techniques

Deepti Sehrawat, Maharshi Dayanand University, Rohtak, Haryana (India)
2019 International Journal of Advanced Trends in Computer Science and Engineering  
Topic identification is an area of data mining that finds common text/ themes from several documents. It is a data summarization technique that helps to summarize documents.  ...  Existing solutions include text clustering, latent semantic approach, probabilistic latent semantics approach, latent Dirichlet allocation approach, association rule-based approaches, document clustering  ...  A topical space navigation method that group related documents into subcategories is proposed by Sahami [10] which uses hierarchical clustering.  ... 
doi:10.30534/ijatcse/2019/71832019 fatcat:g46lyzxg7jcehlci4r62nxbtpe

Survey of Clustering Algorithms for Categorization of Patient Records in Healthcare

D. Narmadha, Appavu Alias Balamurugan, G. Naveen Sundar, S. Jeba Priya
2016 Indian Journal of Science and Technology  
Background/Objectives: This research work provides a survey on the various clustering algorithms such as k-means, K Harmonic means and Hybrid Fuzzy K Harmonic Means (HFKHM) for grouping similar items in  ...  Methods: The task of analyzing the issues in healthcare databasesisextremelydifficultsincehealthcaredatabasesaremulti-dimensional,comprisingtheattributessuchasthe categorization of tumor, radius, texture  ...  Background Clustering algorithms are broadly classified into distance based method, hierarchical based clustering, partition and probabilistic based methods for grouping similar records.  ... 
doi:10.17485/ijst/2016/v9i8/87971 fatcat:ijpow2entvcxjemvdnu77vpkcu

State of the art document clustering algorithms based on semantic similarity

Karwan Jacksi, Niyaz Salih
2020 Jurnal Informatika  
Zandieh and Shakibapoor proposed an algorithm to cluster text documents automatically and their clustering efficiency is higher than traditional hierarchical clustering algorithms.  ...  The proposed method achieves high accuracy in the similarity to the document evaluation due to the hybrid approach [16] .  ... 
doi:10.26555/jifo.v14i2.a17513 fatcat:g7wvf4xxzvczthl5qut2al72dm
« Previous Showing results 1 — 15 out of 28,808 results