Truss network analysis

Sathianandan, T V and Mini, K G (2017) Truss network analysis. In: Course Manual Summer School on Advanced Methods for Fish Stock Assessment and Fisheries Management. Lecture Note Series No. 2/2017 . CMFRI; Kochi, Kochi, pp. 274-277.

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    Abstract

    Classification problems exists in numerical taxonomy in biology and many other branches of Science. The interest here is to classify objects into one of many existing classes and is based on measurements taken on a set of characteristics (called variables ). Hence classification is a multivariate problem which can be divided into two broad categories.  We have multiple measurements data from a number of individuals belonging to known groups. Also we have data collected on individuals whose group membership is not known and is to be determined using the measurements made on them. This problem in statistical terminology comes under Discriminant Analysis.  Another type is the case when the groups are them selves unknown and a primary purpose of the analysis is to find groups so that those belonging to same group are similar than those belonging to different groups. This in statistics come under the heading of cluster analysis or pattern recognition.

    Item Type: Book Section
    Uncontrolled Keywords: Truss network analysis
    Subjects: Marine Fisheries > System analysis
    Divisions: CMFRI-Kochi > Marine Capture > Fishery Resource Assessment
    Subject Area > CMFRI > CMFRI-Kochi > Marine Capture > Fishery Resource Assessment
    CMFRI-Kochi > Marine Capture > Fishery Resource Assessment
    Subject Area > CMFRI-Kochi > Marine Capture > Fishery Resource Assessment
    Depositing User: Arun Surendran
    Date Deposited: 20 Sep 2017 08:43
    Last Modified: 20 Sep 2017 08:43
    URI: http://eprints.cmfri.org.in/id/eprint/12188

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