Seriation by constrained correspondence analysis: A simulation study

نویسندگان

  • Michel van de Velden
  • Patrick J. F. Groenen
  • Jeroen Poblome
چکیده

One of the many areas in which Correspondence Analysis (CA) is an effective method, concerns ordination problems. For example, CA is a well-known technique for the seriation of archaeological assemblages. A problem with the CA seriation solution, however, is that only a relative ordering of the assemblages is obtained. To improve the usual CA solution, a constrained CA approach that incorporates additional information in the form of equality and inequality constraints concerning the time points of the assemblages may be considered. Using such constraints, explicit dates can be assigned to the seriation solution. In this paper, we extend the set of constraints that can be used in CA by introducing interval constraints. That is, constraints that put the CA solution within a specific time-frame. Moreover, we study the quality of the constrained CA solution in a simulation study. In particular, by means of the simulation study we are able to assess how well ordinary and constrained CA can recover the true time order. Furthermore, for the constrained approach, we see how well the true dates are retrieved. The simulation study is set up in such a way that it mimics the data of a series of ceramic assemblages consisting of the locally produced tableware from Sagalassos (SW Turkey). We find that the dating of the assemblages on the basis of constraints appears to work quite well.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Frequency Seriation, Correspondence Analysis, and Woodland Period Ceramic Assemblage Variation in the Deep South

Temporal variation in ceramic-type frequencies often is used to order archaeological assemblages chronologically. Frequency seriation (FS) is one means to do this. If the pottery types used are historical, then frequency seriation is an appropriate method for deriving a chronological order of assemblages. If types measure time and, say, social status, then a frequency-seriation diagram will app...

متن کامل

Optimal Rates of Statistical Seriation

Given a matrix, the seriation problem consists in permuting its rows in such way that all its columns have the same shape, for example, they are monotone increasing. We propose a statistical approach to this problem where the matrix of interest is observed with noise and study the corresponding minimax rate of estimation of the matrices. Specifically, when the columns are either unimodal or mon...

متن کامل

Graph Layout Techniques and Multidimensional Data Analysis

ABSTRACT. In this paper we explore the relationship between multivariate data analysis and techniques for graph drawing or graph layout. Although both classes of techniques were created for quite different purposes, we find many common principles and implementations. We start with a discussion of the data analysis techniques, in particular multiple correspondence analysis, multidimensional scal...

متن کامل

Latent Seriation Method for Cluster or Longitudinal Data

Based on the cluster or longitudinal measurements, our research interest mainly focuses on seriating the latent degree of health status or functioning for the collected subjects. To solve this problem, a latent variable is used to represent the unobserved seriation. In addition, some appropriate and widely used joint models of a latent variable and the cluster measurements are proposed to find ...

متن کامل

Grade Clustering and Seriation of Words Based on Their Co- Occurrences

We present the use of grade correspondence analysis (GCA) in text mining. A sample of words extracted from 20 newsgroups has been linearly arranged according to concordance between their co-occurrence distributions. Words’ co-occurrence matrix, obtained using HAL (Hyperspace Analogue to Language) system and normalized to deemphasize too frequent terms, has been reordered by the GCA algorithm, i...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:
  • Computational Statistics & Data Analysis

دوره 53  شماره 

صفحات  -

تاریخ انتشار 2009