PLS approach for clusterwise linear regression on functional data

被引：0
|
作者：
Preda, C [1 ]
Saporta, G [1 ]
机构：
[1] Univ Lille 2, Lille, France
来源：
CLASSIFICATION, CLUSTERING, AND DATA MINING APPLICATIONS | 2004年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The Partial Least Squares (PLS) approach is used for the clusterwise linear regression algorithm when the set of predictor variables forms an L-2-continuous stochastic process. The number of clusters is treated as unknown and the convergence of the clusterwise algorithm is discussed. The approach is compared with other methods via an application to stock-exchange data.
引用
收藏
页码：167 / 176
页数：10
相关论文
共 50 条
  • [21] Robust clusterwise linear regression through trimming
    Garcia-Escudero, L. A.
    Gordaliza, A.
    Mayo-Iscar, A.
    San Martin, R.
    COMPUTATIONAL STATISTICS & DATA ANALYSIS, 2010, 54 (12) : 3057 - 3069
  • [22] A FAST ALGORITHM FOR CLUSTERWISE LINEAR-REGRESSION
    SPATH, H
    COMPUTING, 1982, 29 (02) : 175 - 181
  • [23] Nonsmooth DC programming approach to clusterwise linear regression: optimality conditions and algorithms
    Bagirov, A. M.
    Ugon, J.
    OPTIMIZATION METHODS & SOFTWARE, 2018, 33 (01): : 194 - 219
  • [24] CLUSTERWISE LINEAR LEAST ABSOLUTE DEVIATIONS REGRESSION
    SPATH, H
    COMPUTING, 1986, 37 (04) : 371 - 378
  • [25] Performance Characterization of Clusterwise Linear Regression Algorithms
    Kuang, Ye Chow
    Ooi, Melanie
    WILEY INTERDISCIPLINARY REVIEWS-COMPUTATIONAL STATISTICS, 2024, 16 (05):
  • [26] Clusterwise linear regression modeling with soft scale constraints
    Di Mari, Roberto
    Rocci, Roberto
    Gattone, Stefano Antonio
    INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, 2017, 91 : 160 - 178
  • [27] An algorithm for clusterwise linear regression based on smoothing techniques
    Bagirov, Adil M.
    Ugon, Julien
    Mirzayeva, Hijran G.
    OPTIMIZATION LETTERS, 2015, 9 (02) : 375 - 390
  • [28] A clusterwise regression approach for the estimation of crash frequencies
    Veeramisti, Naveen
    Paz, Alexander
    Khadka, Mukesh
    Arteaga, Cristian
    JOURNAL OF TRANSPORTATION SAFETY & SECURITY, 2021, 13 (03) : 247 - 277
  • [29] Missing Value Imputation via Clusterwise Linear Regression
    Karmitsa, Napsu
    Taheri, Sona
    Bagirov, Adil
    Makinen, Pauliina
    IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2022, 34 (04) : 1889 - 1901
  • [30] LASSO-penalized clusterwise linear regression modelling: a two-step approach
    Di Mari, Roberto
    Rocci, Roberto
    Gattone, Stefano Antonio
    JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION, 2023, 93 (18) : 3235 - 3258
12345