Essays about: "K-means clustering"

Showing result 1 - 5 of 81 essays containing the words K-means clustering.

  1. 1. Cluster analysis on sparse customer data on purchase of insurance products

    University essay from KTH/Matematisk statistik

    Author : Michel Alexander Postigo Smura; [2019]
    Keywords : ;

    Abstract : This thesis work aims at performing a cluster analysis on customer data of insurance products. Three different clustering algorithms are investigated. These are K-means (center-based clustering), Two-Level clustering (SOM and Hierarchical clustering) and HDBSCAN (density-based clustering). READ MORE

  2. 2. Customer segmentation of retail chain customers using cluster analysis

    University essay from KTH/Matematisk statistik

    Author : Sebastian Bergström; [2019]
    Keywords : Cluster analysis; customer segmentation; tEIGEN; MCLUST; K-means; NMF; Silhouette; Davies-Bouldin; big spenders; statistics; applied mathematics; unsupervised learning; Klusteranalys; kundsegmentering; tEIGEN; MCLUST; K-means; NMF; Silhouette; Davies-Bouldin; storkonsumenter; statistik; tillämpad matematik;

    Abstract : In this thesis, cluster analysis was applied to data comprising of customer spending habits at a retail chain in order to perform customer segmentation. The method used was a two-step cluster procedure in which the first step consisted of feature engineering, a square root transformation of the data in order to handle big spenders in the data set and finally principal component analysis in order to reduce the dimensionality of the data set. READ MORE

  3. 3. Classification of Wi-Fi Sensor Data for a Smarter City : Probabilistic Classification using Bayesian Statistics

    University essay from Umeå universitet/Institutionen för matematik och matematisk statistik; Umeå universitet/Institutionen för matematik och matematisk statistik

    Author : Elin Tyni; Johanna Wikberg; [2019]
    Keywords : ;

    Abstract : As cities are growing with an increasing number of residents, problems with the traffic such as congestion and larger emission arise. The city planners have challenges with making it as easy as possible for the residents to commute and in as large scale as possible to avoid vehicles. READ MORE

  4. 4. Unsupervised machine learning to detect patient subgroups in electronic health records

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Elin Lütz; [2019]
    Keywords : Machine learning; unsupervised learning; clustering; EHR; electronic health records; ICD; diagnosis codes.; Maskininlärning; oövervakat lärande; klustring; EHR; digitala patientjournaler; ICD; diagnoskoder;

    Abstract : The use of Electronic Health Records (EHR) for reporting patient data has been widely adopted by healthcare providers. This data can encompass many forms of medical information such as disease symptoms, results from laboratory tests, ICD-10 classes and other information from patients. READ MORE

  5. 5. Clustering of Driver Data based on Driving Patterns

    University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Author : Amit Kabra; [2019]
    Keywords : Clustering; Driving Patterns; Markov Chain; Cars; Machine Learning;

    Abstract : Data analysis methods are important to analyze the ever-growing enormous quantity of the high dimensional data. Cluster analysis separates or partitions the data into disjoint groups such that data in the same group are similar while data between groups are dissimilar. READ MORE