Combinatorial Analysis

Quality measurement, control, and improvement in combinatorial chemistry Combinatorial chemistry has developed rapidly in the past decade, with great advances made by scientists working on analysis and purification of a large number of compounds and the analysis of polymer-bound compounds. However, formidable challenges lie ahead of today's researcher. For example, high-throughput analysis and purification technologies must be further developed to ensure combinatorial libraries are "purifiable," and "drugable." To this end, Analysis and Purification Methods in Combinatorial Chemistry describes various analytical techniques and systems for the development, validation, quality control, purification, and physicochemical testing of combinatorial libraries.

This book offers an original and broad exploration of the fundamental methods in Clustering and Combinatorial Data Analysis, presenting new formulations and ideas within this very active field.

Authors: Lerman, Israël César
Offers a step-by-step process of the path of the data to the synthetic structure summarizing the data given by a hierarchical or non-hierarchical clustering
Presents brand new principles and methods within the Data Mining field
Examines ascendant agglomerative hierarchical clustering and Likelihood Linkage Analysis (LLA) clustering methods from metrical, algorithmic and computational aspects