Essays about: "K-means clustering"

Showing result 1 - 5 of 70 essays containing the words K-means clustering.

  1. 1. Investigating Machine Learning Clustering Methods to Replicate the Human Idea of Structure to Documents

    University essay from Lunds universitet/Matematik LTH

    Author : Johannes Jansson; Victor Miller; [2018]
    Keywords : machine learning; k-means; support vector machine; svm; tf-idf; clustering; document; documents; pdf; information retrieval; scikit-learn; Mathematics and Statistics;

    Abstract : Anyone trying to maintain a set of text documents in an information retrieval system will run into problems keeping it relevant and up to date as the amount of data increases. This thesis investigates how a collection of documents can be clustered in a way that resembles how a human would organize it. READ MORE

  2. 2. Forecasting future delivery orders to support vehicle routing and selection

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

    Author : Gustaf Engelbrektsson; [2018]
    Keywords : LSTM; Origin Destination Matrices; Recurrent Neural Networks; Prediction; Forecast; Courier Companies;

    Abstract : Courier companies receive delivery orders at different times in advance. Some orders are known long beforehand, some arise with a very short notice. Currently the order delegation, deciding which car is going to drive which order, is performed completely manually by a (TL) where the TL use their experience to guess upcoming orders. READ MORE

  3. 3. Predicting Personal Taxi Destinations Using Artificial Neural Networks

    University essay from Linköpings universitet/Statistik och maskininlärning

    Author : Schlyter Fredrik; [2018]
    Keywords : Machine Learning; Neural Networks; Destination prediction; Data mining;

    Abstract : Taxi Stockholm is a Swedish taxi company which would like to improve their mobile phone application with a destination prediction feature. This thesis has created an algo- rithm which predicts a destination to which a taxi customer would like to go. The problem is approached using the KDD process and data mining methods. READ MORE

  4. 4. Unsupervised Machine Learning: An Investigation of Clustering Algorithms on a Small Dataset

    University essay from Blekinge Tekniska Högskola/Institutionen för programvaruteknik; Blekinge Tekniska Högskola/Institutionen för programvaruteknik

    Author : Fredrik Forsberg; Pierre Alvarez Gonzalez; [2018]
    Keywords : ;

    Abstract : Context: With the rising popularity of machine learning, looking at its shortcomings is valuable in seeing how well machine learning is applicable. Is it possible to apply the clustering with a small dataset? Objectives: This thesis consists of a literature study, a survey and an experiment. READ MORE

  5. 5. Cluster Analysis from a Game Theoretical Framework

    University essay from Handelshögskolan i Stockholm/Institutionen för nationalekonomi

    Author : Rachael Ahn; [2018]
    Keywords : cluster analysis; algorithmic game theory; Nash equilibrium; repeated games;

    Abstract : Although regression analysis is the predominant method of statistical analysis in econometrics, unsupervised methods such as cluster analysis can bring novel insight into detailed data sets. In this paper, we analogize game theory with cluster analysis, and find that the k-means algorithm is a Nash equilibrium in a repeated game framework. READ MORE