6. Symbolic Data Analysis

Author:

Bock Hans-Hermann

Publisher

Japanese Society of Computational Statistics

Reference12 articles.

1. Bock, H. H. (1974). Automatische Klassifikation. Theoretische und Praktische Methoden zur Strukturierung von Daten (CLusteranalyse). Göttingen: Vandenhoeck & Ruprecht.

2. Bock, H. H. (1996a). Probabilistic models in partitional cluster analysis. In Developments in data analysis, Metodoloski zvezki, A. Ferligoj and A. Kramberger (eds.), 12, 3-25, Ljubljana: FDV.

3. Bock, H. H. (1996b). Probabilistic models and statistical methods in classification. Written version of a Tutorial Session organized by the Japanese Classification Society and the Japan Marketing Association (Tokyo, April 2-3, 1996), 50-68. Tokyo: Japan Marketing Association.

4. Bock, H. H. (1997). Simultaneous visualization and clustering methods as an alternative to Kohonen maps. In Learning, Networks and Statistics, CISM Courses and Lectures No. 382, G. Della Riccia et al. (eds.), 67-85, Wien: Springer.

5. Bock, H. H. (1999a). Clustering and neural network approaches. In Classification in the Information Age, W. Gaul and H. Locarek-Junge (eds.), 42-57, Heidelberg: Springer-Verlag.

Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Kohonen map-wise regression applied to interval data;Knowledge-Based Systems;2021-07

2. Classification of Entrepreneurial Regimes: A Symbolic Polygonal Clustering Approach;Data Analysis and Rationality in a Complex World;2021

3. Exploratory multivariate analysis for empirical information affected by uncertainty and modeled in a fuzzy manner: a review;Granular Computing;2017-03-24

4. Symbolic Data Analysis: another look at the interaction of Data Mining and Statistics;Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery;2014-07

5. Possibilistic Clustering Methods for Interval-Valued Data;International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems;2014-04

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3