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Hierarchically clustered navigation of distinct Euclidean particles

Omur Arslan, Dan P. Guralnik, Daniel E. Koditschek
2012 2012 50th Annual Allerton Conference on Communication, Control, and Computing (Allerton)  
Disciplines Electrical and Computer Engineering | Engineering | Systems Engineering Comments BibTeX entry Abstract-This paper introduces and solves the problem of cluster-hierarchy-invariant particle navigation  ...  Namely, we are given a desired goal configuration, x * ∈ Conf R d , J and τ , a specified cluster hierarchy that the goal supports.  ...  . , n} ⊂ N, a configuration, x = (x i ) i∈J , is a labeled placement of |J| = n distinct Euclidean particles, x i .  ... 
doi:10.1109/allerton.2012.6483320 dblp:conf/allerton/ArslanGK12 fatcat:576s7wlduzejdo26thshoteosa

Navigation of Distinct Euclidean Particles via Hierarchical Clustering [chapter]

Omur Arslan, Dan P. Guralnik, Daniel E. Koditschek
2015 Springer Tracts in Advanced Robotics  
We present a centralized online (completely reactive) hybrid navigation algorithm for bringing a swarm of n perfectly sensed and actuated point particles in Euclidean d space (for arbitrary n and d) to  ...  We present a centralized online (completely reactive) hybrid navigation algorithm for bringing a swarm of n perfectly sensed and actuated point particles in Euclidean d space (for arbitrary n and d) to  ...  . , n} ⊂ N, a configuration, x = (x i ) i∈J , is a labeled placement of |J| = n distinct Euclidean particles, x i .  ... 
doi:10.1007/978-3-319-16595-0_2 fatcat:a4q7gqkrjrfojd3du6l5ker3da

Coordinated Robot Navigation via Hierarchical Clustering

Omur Arslan, Dan P. Guralnik, Daniel E. Koditschek
2016 IEEE Transactions on robotics  
of hierarchical clustering method.  ...  We introduce the use of hierarchical clustering for relaxed, deterministic coordination and control of multiple robots.  ...  A preliminary version of this paper is presented in the conference paper [1] for point particles and a certain choice of hierarchical clustering.  ... 
doi:10.1109/tro.2016.2524018 fatcat:vfcsclh54jh2jjl63njzdywaxm

Estimating Activity at Multiple Scales using Spatial Abstractions [article]

Majd Hawasly, Florian T. Pokorny, Subramanian Ramamoorthy
2016 arXiv   pre-print
We present an algorithm that combines a topology-based trajectory clustering procedure that generates hierarchically-structured spatial abstractions with a bank of particle filters at each of these abstraction  ...  levels so as to produce probability estimates over an agent's navigation activity that is kept consistent across the hierarchy.  ...  Experiments We evaluate the performance of MHPF in a number of 2-dimensional navigation domains over two baselines which are particle filters without access to the hierarchical structure.  ... 
arXiv:1607.07311v1 fatcat:sacze533ivdzpozftbtdtnqaea

A Survey on Optimization Approaches to Text Document Clustering

Jensi R, Wiselin Jiji G
2013 International Journal on Computational Science & Applications  
Many document clustering algorithms provide localized search in effectively navigating, summarizing, and organizing information.  ...  Text Document Clustering is one of the fastest growing research areas because of availability of huge amount of information in an electronic form.  ...  of distinct terms.  ... 
doi:10.5121/ijcsa.2013.3604 fatcat:7jsacwl24rbuxcfu35fyoyxjiq

A New Approach to Measuring the Similarity of Indoor Semantic Trajectories

Jin Zhu, Dayu Cheng, Weiwei Zhang, Ci Song, Jie Chen, Tao Pei
2021 ISPRS International Journal of Geo-Information  
The key component of the ISTSM is an indoor navigation graph that is transformed from an indoor floor plan representing the indoor space for computing accurate indoor walking distances.  ...  Insightful indoor movement patterns can be discovered from indoor trajectories using various clustering methods.  ...  Conflicts of Interest: The authors declare that they have no conflict of interest.  ... 
doi:10.3390/ijgi10020090 fatcat:wc7szmfzgbfqnnuoddf5wupkiy

Advanced Preprocessing Techniques used in Web Mining: A Study

T. Gopalakrishnan, M.Kavya M.Kavya, V.S.Gowthami V.S.Gowthami
2014 International Journal of Computer Applications  
There are number of techniques available at preprocessing level of WUM.  ...  In web usage mining, preprocessing plays a key role, since large amount of irrelevant information are present in the web. It is used to improve the quality and efficiency of the data.  ...  Next, the pair wise distance based on average linkage to link the pair of clusters to hierarchical clusters of sessions is calculated.  ... 
doi:10.5120/17747-8822 fatcat:c2ccftg2rjcv5j5buijkxagpkm

Coordinated Robot Navigation via Hierarchical Clustering [article]

Omur Arslan, Dan P. Guralnik, Daniel E. Koditschek
2015 arXiv   pre-print
of hierarchical clustering method.  ...  We introduce the use of hierarchical clustering for relaxed, deterministic coordination and control of multiple robots.  ...  The authors would like to thank Yuliy Baryshnikov and Fred Cohen for discussions on the topology of configuration spaces.  ... 
arXiv:1507.01637v1 fatcat:zz6fabnu5ffvxdhowdcjgwjv7y

Feature selection, optimization and clustering strategies of text documents

A. Kousar Nikhath, K. Subrahmanyam
2019 International Journal of Electrical and Computer Engineering (IJECE)  
Clustering is one of the most researched areas of data mining applications in the contemporary literature.  ...  This manuscript presents an in-depth analysis of challenges of clustering in the text environment.  ...  The high-quality and efficient document clustering methods play a vital role in supporting the clients in terms of effective navigation, summarizing and organizing diversified set of information effectively  ... 
doi:10.11591/ijece.v9i2.pp1313-1320 fatcat:oeausxbjsfgipbszcxwdceojca

A Review of Subsequence Time Series Clustering

Seyedjamal Zolhavarieh, Saeed Aghabozorgi, Ying Wah Teh
2014 The Scientific World Journal  
Clustering of subsequence time series remains an open issue in time series clustering.  ...  One of the useful fields in the domain of subsequence time series clustering is pattern recognition. To improve this field, a sequence of time series data is used.  ...  Acknowledgment This work is supported by University of Malaya High Impact Research Grant no. vote UM.C/625/HIR/MOHE/SC/13/2 from Ministry of Education, Malaysia.  ... 
doi:10.1155/2014/312521 pmid:25140332 pmcid:PMC4130317 fatcat:ptmtjuq77rdhjpr4g2rhwvh4xa

Semantic based Document Clustering: A Detailed Review

Neepa Shah, Sunita Mahajan
2012 International Journal of Computer Applications  
In the final phase of document clustering, the target documents are grouped into distinct clusters on the basis of the selected features and their respective values in each document by applying clustering  ...  It stops when there is no change for any of the clusters between successive iterations.  Hierarchical: Hierarchical document clustering is to build dendrogram, a hierarchical tree of clusters, whose leaf  ... 
doi:10.5120/8202-1598 fatcat:mb5hph2d6vhofmyxuyib7srgqq

Perceptual Dominant Color Extraction by Multidimensional Particle Swarm Optimization

Serkan Kiranyaz, Stefan Uhlmann (EURASIP Member), Turker Ince, Moncef Gabbouj
2010 EURASIP Journal on Advances in Signal Processing  
In this paper, we address dominant color extraction as a dynamic clustering problem and use techniques based on Particle Swarm Optimization (PSO) for finding optimal (number of) dominant colors in a given  ...  Color is the major source of information widely used in image analysis and content-based retrieval.  ...  As the process of identifying natural groupings in a multidimensional data space based on some distance metric (e.g., Euclidean), data clustering can be divided into two main categories: hierarchical and  ... 
doi:10.1155/2009/451638 fatcat:qwkyipwwobezdaccb7volqxtge

Clickstream Visualization Based on Usage Patterns [chapter]

Srinidhi Kannappady, Sudhir P. Mudur, Nematollaah Shiri
2006 Lecture Notes in Computer Science  
Fuzzy clustering is applied to historical usage data and the result imaged in the form of a point cloud. Web navigation data from active users are shown as animated paths in this point cloud.  ...  It is clear that when many paths get attracted to one of the clusters, that particular cluster is currently "hot."  ...  Suryavanshi for his contribution in the development of the RFSC algorithm used in this work.  ... 
doi:10.1007/11949619_31 fatcat:2c475evri5acrlwcvn4omkhybq

Indoor positioning and wayfinding systems: a survey

Jayakanth Kunhoth, AbdelGhani Karkar, Somaya Al-Maadeed, Abdulla Al-Ali
2020 Human-Centric Computing and Information Sciences  
Most of the outdoor navigation systems adopt GPS and Global Navigation Satellite System (GLONASS) to track the user's position.  ...  In the past, considerable number of navigation systems were developed for accessing outdoor and indoor environments.  ...  illustrates the hierarchical classification of indoor navigation systems according to the positioning technologies adopted by them.  ... 
doi:10.1186/s13673-020-00222-0 fatcat:m7lt5zdcjbbsvlh7fwatjvpx6y

Chameleon - Dynamic Color Mapping for Multi-Scale Structural Biology Models [article]

Nicholas Waldin, Mathieu Le Muzic, Manuela Waldner, Eduard Gröller, David Goodsell, Autin Ludovic, Ivan Viola
2016 Eurographics Workshop on Visual Computing for Biomedicine  
In multiscale models of viruses or bacteria, there are atoms on the finest level of detail, then amino-acids, secondary structures, macromolecules, up to the compartment level and, in all these levels,  ...  Visualization of structural biology data uses color to categorize or separate dense structures into particular semantic units.  ...  Such clustering can, however, cause perceptual issues, either due to the large number of clusters or their layout.  ... 
doi:10.2312/vcbm.20161266 pmid:28361008 pmcid:PMC5370176 fatcat:fvdbmyrdyzbenn4jxshldktbsa
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