Search results for "62H30"

showing 2 items of 2 documents

Linear density-based clustering with a discrete density model

2018

Density-based clustering techniques are used in a wide range of data mining applications. One of their most attractive features con- sists in not making use of prior knowledge of the number of clusters that a dataset contains along with their shape. In this paper we propose a new algorithm named Linear DBSCAN (Lin-DBSCAN), a simple approach to clustering inspired by the density model introduced with the well known algorithm DBSCAN. Designed to minimize the computational cost of density based clustering on geospatial data, Lin-DBSCAN features a linear time complexity that makes it suitable for real-time applications on low-resource devices. Lin-DBSCAN uses a discrete version of the density m…

FOS: Computer and information sciencesComputer Science - Machine LearningH.3.3Statistics - Machine LearningI.5.362H30 68T10I.5.3; H.3.3Machine Learning (stat.ML)Machine Learning (cs.LG)
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Visualization of Jacques Lacan's Registers of the Psychoanalytic Field, and Discovery of Metaphor and of Metonymy. Analytical Case Study of Edgar All…

2016

We start with a description of Lacan's work that we then take into our analytics methodology. In a first investigation, a Lacan-motivated template of the Poe story is fitted to the data. A segmentation of the storyline is used in order to map out the diachrony. Based on this, it will be shown how synchronous aspects, potentially related to Lacanian registers, can be sought. This demonstrates the effectiveness of an approach based on a model template of the storyline narrative. In a second and more comprehensive investigation, we develop an approach for revealing, that is, uncovering, Lacanian register relationships. Objectives of this work include the wide and general application of our met…

FOS: Computer and information sciencesI.2Computer Science - Computation and LanguageStatistics - Machine LearningI.5.3I.5.462H25 62H30G.3Machine Learning (stat.ML)G.2.2Computation and Language (cs.CL)I.5.3; I.5.4; I.2; G.2.2; G.3
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