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데이터 분석에 제목의 프로그램이 필요한데, 구입처나 활용할 수 있는 곳에 대한 정보 부탁드립니다.
참고:NTSYSpc can be used to discover pattern and structure in multivariate data. For example, one may wish to discover that a sample of data points suggests that the samples may have come from two or more distinct populations. Of equal interest is the discovery that the variation in some subsets of variables are highly inter-correlated. The input can be descriptive information about collections of objects or directly measured similarities or dissimilarities between all pairs of objects. The kinds of descriptors and objects used depend upon the application―morphological characters, abundances of species, presence and absence of properties, etc. NTSYSpc can transform data, estimate dis/similarities among objects, and prepare summaries of the relationships using cluster and ordination analyses. Many of the results can be shown both numerically and graphically. The software is designed for both classroom and research.
- Programs
- NTSYS
각 분야 한인연구자와 현업 전문가분들의 답변을 기다립니다.
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답변
조윤환님의 답변
2011-07-05- 0
Exeter Software라는 곳에서 개발한 프로그램으로 아래 링크에 가시면 자세한 정보와 응용분야등에 대한 정보를 얻으실 수 있습니다.
구입은 아래 링크에서 신용카드 또는 대체결제 수단을 통해 가능합니다. 원래 가격은 $350 인데 정부기관 및 교육기관의 경우 $250 이라는 군요.
http://www.exetersoftware.com/
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데이터 분석에 제목의 프로그램이 필요한데, 구입처나 활용할 수 있는 곳에 대한 정보 부탁드립니다.
참고:NTSYSpc can be used to discover pattern and structure in multivariate data. For example, one may wish to discover that a sample of data points suggests that the samples may have come from two or more distinct populations. Of equal interest is the discovery that the variation in some subsets of variables are highly inter-correlated. The input can be descriptive information about collections of objects or directly measured similarities or dissimilarities between all pairs of objects. The kinds of descriptors and objects used depend upon the application―morphological characters, abundances of species, presence and absence of properties, etc. NTSYSpc can transform data, estimate dis/similarities among objects, and prepare summaries of the relationships using cluster and ordination analyses. Many of the results can be shown both numerically and graphically. The software is designed for both classroom and research.