A novel rough value set categorical clustering technique for supplier base management

This paper describes a general data base management package, devoted to medical applications. SARI is a user-oriented system, able to take into account applications very different by their nature, structure, size, operating procedures and general objectives, without any specific programming. It can be used in conversational mode by users with no previous knowledge of computers, such as physicians or medical clerks.As medical data are often personal data, the privacy problem is emphasized and a satisfactory solution implemented in SARI.The basic principles of the data base and program organization are described ; specific efforts have been made in order to increase compactness and to make maintenance easy.Several medical applications are now operational with SARI. The next steps will mainly consist in the implementation of highly sophisticated functions.

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A Robust Clustering Technique for Color Based Image Segmentation

International Conference Image Processing, Computers and Industrial Engineering (ICICIE'2014) Jan. 15-16, 2014 Kuala Lumpur (Malaysia) ◽

10.15242/iie.e0114559 ◽

2014 ◽

Keyword(s):

Image Segmentation ◽

Robust Clustering ◽

Clustering Technique

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Geometric computation of value set contours of affine uncertain systems

1999 European Control Conference (ECC) ◽

10.23919/ecc.1999.7099514 ◽

1999 ◽

Author(s):

J. C. Cockburn ◽

M. A. Lopez

Keyword(s):

Uncertain Systems ◽

Value Set

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IMPROVING STUDENTS ACHIEVEMENT IN VOCABULARY THROUGH LUSTERING TECHNIQUE

REGISTER Journal of English Language Teaching of FBS-Unimed ◽

10.24114/reg.v2i2.839 ◽

2013 ◽

Vol 2 (2) ◽

Author(s):

Lisda Yuniati Tumanggor And Zainuddin

Keyword(s):

Action Research ◽

Learning Process ◽

Quantitative Data ◽

Teaching And Learning ◽

Qualitative Data ◽

Clustering Technique ◽

Class Viii ◽

The Subject ◽

The Mean ◽

Vocabulary Score

This study attempts to improve students’ vocabulary achievement through Clustering Technique. This study was conducted by using classroom action research. The subject of the research was class VIII-B SMP Katolik Trisakti 2 Medan that consisted of 32 students. The research was conducted in two cycles and each cycle consisted of three meetings. The instruments for collecting data were vocabulary tests for quantitative data and diary notes, observation sheet and questionnaire sheet for qualitative data. Students’ score kept improving in every test. In the first cycle test, the mean of vocabulary score was 64.68. And in the second cycle test, the mean of vocabulary score was 79.85. Based on diary notes, observation sheet and questionnaire sheet, teaching and learning process had done effectively showed the improvement. Every student was studied actively. And from the research can be concluded that Clustering Technique can improve students’ achievement in vocabulary.

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