Dissertation > Excellent graduate degree dissertation topics show

Research on Directional Clustering and It’s Applications

Author: XiuYu
Tutor: WangShiTong
School: Jiangnan University
Course: Applied Computer Technology
Keywords: Cluster analysis High-dimensional data Directional data Directional metrics Gene expression data Text Clustering Principle of maximum entropy
CLC: TP18
Type: Master's thesis
Year: 2006
Downloads: 165
Quote: 0
Read: Download Dissertation

Abstract


Cluster analysis is the use of mathematical methods and processing of a given object classification , its aim is to discover the hidden distribution structure in the data set . Over the last decade , greatly improve the ability to access and production data . By clustering analysis algorithm found these hidden data within the data distribution model, as well as valuable linkages exist between the data attribute . The clustering techniques widely used in bioinformatics, archeology, psychology, computer image processing, information retrieval, engineering controls , and many other areas . Often encountered in the practical application of high -dimensional data , such as gene expression data, text data, multimedia data . Due to the universality of this data , the clustering analysis of high-dimensional data is of great significance . In this paper, the directivity and Cluster Analysis of high-dimensional data problems . Including gene expression data clustering analysis and text clustering analysis, and proposed some solutions to the problem , has a certain theoretical and practical significance . The main work of this paper are: 1 ) analysis of high-dimensional data directional characteristics , gene expression data , and on this basis to construct a new similarity measure - directional similarity suitable for gene expression clustering algorithm DSCM . The algorithm overcomes the initialization sensitivity the other directivity clustering algorithm when clustering of gene expression , to a certain extent can automatically determine the number of classes as well as having a certain outlier detection function , and thus has certain robustness . A large number of simulation results show that the algorithm has good performance . 2 ) the introduction of the principle of maximum entropy in information theory to the classic spherical text clustering , maximum entropy objective function and maximum entropy for text clustering spherical text clustering algorithm is constructed . The new algorithm can avoid local minima and the global minimum , has initially solved the classic spherical text clustering algorithm initialization sensitivity problem , and the clustering performance improved .

Related Dissertations

  1. Research and Implementation of Mining Implicit User Interest,TP311.13
  2. Development of EST-SSR Primers and Application in Analysis of Genetic Realtionships in Tree Peony,S685.11
  3. Pre-hypertension syndrome characteristics,R259
  4. Comprehensive Quality Assessment of College Students,G645.5
  5. Studieson Effects of Soybean Species on Yuba and Initial Establishment of Quality Evalution System for Yuba,TS214.2
  6. ISSR Analysis of Genetic Diversity on 21 Lotus(Nelumbo Nucifera) Cultivars,S682.32
  7. Research on the Soil Environmental Function Zoning,X321
  8. Comparison of Gene Expression Data Cluster Methods and Gene Network Construction for Phytophthora Sojae Genes,S435.651
  9. Study on Heterosis and Genetic Basis of Soybean,S565.1
  10. Evaluation on Forage Quality and Biomass Energy Characters of Inbred Vegetative Lines of Napier Grass,S543.9
  11. The Design and Implementation of Bicluster Data Analyzing Software,TP311.52
  12. Clustering Method Research Based on Divided and Conquered Method,TP311.13
  13. Elements of Thirty Kinds of Proprietary Chinese Medicines and Classification Based on Elements,R286.0
  14. Design to E-learning System in Senior Vocational School Base on Moodle,TP311.52
  15. Research of Text Clustering on Food Complaint Documents Based on Ontology,TP391.1
  16. The Research of Prairie Road Light Environment Effects on Physiological Indicators of Drivers,U491.254
  17. Improved Mathematical Model of Spatial Information Processing Based on Fuzzy Technology,O159
  18. Based embedded software fault-tolerant data flow anomaly detection,TP368.1
  19. Research on Classification of Colleges in Our Country Based on Clustering Technology of Data Mining,TP311.13
  20. Research and Application on Short Message Text Clustering,TP391.1
  21. Research on the Platform for Clustering Graph Data and Its Implementation,TP311.13

CLC: > Industrial Technology > Automation technology,computer technology > Automated basic theory > Artificial intelligence theory
© 2012 www.DissertationTopic.Net  Mobile