Internal quality measures for clustering in metric spaces
DOI: 10.1504/IJBIDM.2008.017973 | Quynh H. Nguyen, V.J. Rayward-Smith | This paper reviews clustering in metric spaces and some of the many and various fitness measures used to measure cluster quality. Experiments are undertaken to determine the correlation between these measures.... | 4 - 29 |
A stochastic nature inspired metaheuristic for clustering analysis
DOI: 10.1504/IJBIDM.2008.017973 | Yannis Marinakis, Magdalene Marinaki, Nikolaos Matsatsinis | This paper presents a new stochastic nature inspired methodology, which is based on the concepts of Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO), for optimally clustering N objects into K clusters. Due to the nature o... | 30 - 44 |
Fuzzy clustering of intuitionistic fuzzy data
DOI: 10.1504/IJBIDM.2008.017973 | Nikos Pelekis, Dimitris K. Iakovidis, Evangelos E. Kotsifakos, Ioannis Kopanakis | Challenged by real-world clustering problems this paper proposes a novel fuzzy clustering scheme of datasets produced in the context of intuitionistic fuzzy set theory. More specifically, we introduce a variant of the Fuzzy C-Means (FCM) cl... | 45 - 65 |
Efficient clustering technique for regionalisation of a spatial database
DOI: 10.1504/IJBIDM.2008.017973 | Lokesh Kumar Sharma, Simon Scheider, Willy Kloesgen, Om Prakash Vyas | Regionalisation, a prominent problem from social geography, could be solved by a classification algorithm for grouping spatial objects. A typical task is to find spatially compact and dense regions of arbitrary shape with a homogeneous inte... | 66 - 81 |
Traffic mining in a road-network: How does the traffic flow?
DOI: 10.1504/IJBIDM.2008.017973 | Irene Ntoutsi, Nikos Mitsou, Gerasimos Marketos | The flow of data coming from modern sensing devices enables the development of novel research techniques related to data management and knowledge extraction. In this work, we undertake the problem of analysing traffic in a road network so a... | 82 - 98 |
Improving the accuracy of continuous aggregates and mining queries on data streams under load shedding
DOI: 10.1504/IJBIDM.2008.017973 | Yan-Nei Law, Carlo Zaniolo | Random samples are common in data streams applications due to limitations in data sources and transmission lines, or to load-shedding policies. Here we introduce a formal error model and show that, besides providing accurate estimates, it i... | 99 - 117 |
Preface