Essays about: "Cluster Validation Measures"

Found 3 essays containing the words Cluster Validation Measures.

  1. 1. Evaluating clustering techniques in financial time series

    University essay from Uppsala universitet/Avdelningen för systemteknik

    Author : Johan Millberg; [2023]
    Keywords : clustering; machine learning; financial time series; time series; unsupervised learning; cluster validation; cluster evaluation; klustring; klusteranalys; finansiella tidsserier; maskininlärning; klustervalidering; evalueringsteknik;

    Abstract : This degree project aims to investigate different evaluation strategies for clustering methodsused to cluster multivariate financial time series. Clustering is a type of data mining techniquewith the purpose of partitioning a data set based on similarity to data points in the same cluster,and dissimilarity to data points in other clusters. READ MORE

  3. 2. Analysis of Organizational Structure of a Company by Evaluation of Email Communications of Employees : A Case Study

    University essay from Blekinge Tekniska Högskola/Institutionen för datalogi och datorsystemteknik

    Author : Sai Mohan Harsha Kota; [2018]
    Keywords : Cluster Validation Measures; Clustering; Data Analysis; Organizational Structure; Human Capital Management; Email;

    Abstract : There are many aspects that govern the performance of an organization. One of the most important thing is their organizational structure. Having a well-planned organizational structure facilitates good internal communication among the employees, which in turn contributes to the success of the organization. READ MORE

  4. 3. Evaluation of clusterings of gene expression data

    University essay from Institutionen för datavetenskap

    Author : Zelmina Lubovac; [2000]
    Keywords : Gene expression analysis; Evaluation of clusterings; Self organizing maps; Average linkage clustering; Annotations;

    Abstract : Recent literature has investigated the use of different clustering techniques for analysis of gene expression data. For example, self-organizing maps (SOMs) have been used to identify gene clusters of clear biological relevance in human hematopoietic differentiation and the yeast cell cycle (Tamayo et al., 1999). READ MORE