Read e-book online Algorithms for Clustering Data PDF

By Anil K. Jain

ISBN-10: 013022278X

ISBN-13: 9780130222787

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A complex problem to some may be basic to others. At this point, it is important to note that instrument interfacing is possible. ' raW~I .. Riot .. tory Figure 3-3. Components of automated laboratory instrumentation. (Customization and tailoring of LIMS are briefly examined in Chapter 4 and dealt with in detail in Chapter 12. ) Enabling data acquisition is easier for some instruments than for others. By the same token, its easier to enable data acquisition for some commercial LIMS packages than for others.

This group offunctions is called the standard functions. Finding such similarity among packages is not surprising because they are all designed to solve the same problems. Thus, we would expect all LIMS packages to be similar in some regards. Some very important questions have arisen concerning these similarities. Which functions should we always expect to find in any package which is advertised as a LIMS? Should a software package contain a certain set of core functions before it can be advertised as a LIMS?

As we describe in Chapter 11, ad hoc database searching is a very powerful feature of a LIMS application. It allows the LIMS user to rapidly devise search strategies for selecting data relationships without the need for complicated database programming. Also associated with relational databases is the use of SQL, the ANSI standard language for relational databases. SQL, also referred to as IBM's structured query language (20,44), has a high degree of database searching flexibility. Some LIMS are beginning to combine relational database technology A X I 0 M B EC CA KL MS A N L I OM ES CI S M Hierarchical database Relational database N ER PLL ESA OB N 2 PO EO 0 NA EC PLC ESE OS NS X X X VL AI RM I S AI NO M M A VN GA G E R X X COOASYL database Uses proprietary database L A HB PS A M X X X X X Figure 4-1.

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Algorithms for Clustering Data by Anil K. Jain

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