Computer engineering department efficient data clustering algorithms mohammed b abubaker advisor prof hatem m hamad ( professor of computer engineering) a thesis submitted to the department of computer engineering in partial fulfillment of the requirements for the degree of master of science. Master thesis clustering analysis of malware behavior 1 2 3 aalborg university p10, spring semester 2015 group 1020 - networks & distributed systems. Dissertation presented in partial fulfillment of the requirements for the degree of doctor in engineering xinhai liu learning from multi-view data: clustering algorithm and text mining application arenberg doctoral school of science, engineering & technology faculty of engineering department of electrical engineering. Therefore, image clustering techniques are needed that group semantically related images, are highly scalable, and produce balanced structures to be useful for content- based browsing in this thesis both flat and hierarchical k- means clustering techniques are com- pared to hierarchical agglomerative. Cluster validity in clustering methods publications of the university of eastern finland dissertations in forestry and natural sciences no 77 academic dissertation to be presented by permission of the faculty of science and forestry for public examination in louhela auditorium in science park at the. Abstract identifying three prevalent approaches—richard florida's consump- tion‐related creative class thesis, clustering of the creative indus- tries, and global production networks of these industries—to understand the geography and development of the creative indus- tries in existing literature, this paper reviews the.
Ranganathan, sindhuja: improvements to k-means clustering master's thesis, 42 november 2013 major subject: software systems examiner(s): professor tapio elomaa keywords: algorithm, computational complexity, data mining, k- means clustering machine learning working with huge amount of data and learning. Citation korlakai vinayak, ramya (2018) graph clustering: algorithms, analysis and query design dissertation (phd), california institute of technology doi: 107907/z9rr1wfk http://resolvercaltechedu/caltechthesis:09222017- 130217881. This is to certify that the work in the thesis entitled ” study on clustering tech- niques and application to microarray gene expression bioinformatics data” sub - mitted by kumar dhiraj is a record of an original research work carried out by him under my supervision and guidance in partial fulfillment of the requirements for.
Distributed document clustering and cluster summarization in peer-to-peer environments by khaled m hammouda a thesis presented to the university of waterloo in fulfillment of the thesis requirement for the degree of doctor of philosophy in systems design engineering waterloo, ontario, canada 2007 c khaled m. This thesis proposes a new method for unsupervised image clustering using proba- bilistic continuous models and information theoretic principles image clustering relates to content-based image retrieval systems it enables the implementation of efficient retrieval algorithms and the creation of a user friendly interface to the.
Graphs, clustering and applications derry tanti wijaya (b comp (hons), nus) a thesis submitted for the degree of master of science department of computer science national university of singapore 2008. Comparative analysis of two clustering algorithms: k-means and fsdp (fast search and find of density peaks) a thesis presented to the faculty of the department of computer science san jose state university in partial fulfillment of the requirements for the degree master of science. This thesis describes a method called “affinity propagation” that simultaneously considers all data points as potential exemplars, exchanging real-valued messages between data points until a high-quality set of exemplars and corresponding clusters gradually emerges affinity propagation takes as input a set of pairwise.
This master thesis examines possibility of adaptation of hierarchical cluster analysis algorithm ahc (agglomerative hierarchical clustering) based on the vector space model to web search results clustering we show here problems that arise when trying to use this algorithm in this application domain, where it must. Clustering methods the goal of clustering is to reduce the amount of data by categorizing or grouping similar data items together such grouping is pervasive in the way humans process information, and one of the motivations for using clustering algorithms is to provide automated tools to help in constructing categories or. Large scale news article clustering master of science thesis computer science: algorithms, languages and logic marcus lönnberg love yregård chalmers university of technology department of computer science and engineering gothenburg, sweden june 2013.