DevExpress.ExpressSideBar.v5.37.for.Delphi.BCB.Full.Source
delphi和 bcb源碼，能輕松實現(xiàn)outlook風(fēng)格的側(cè)邊欄，效果很好，推薦！
ExpressSideBar is a VCL implementation of the MS
Outlook bar. Designed to be easy to use and built with
a significant feature set. Just drop it on a form,
double click the control and in a few moments, you can
customize the ExpressSideBar for your needs.
該文設(shè)計的 D S P最小系統(tǒng)可應(yīng)用于教學(xué)，本科生通過在此硬件平臺上實現(xiàn) F S K的調(diào)
制及 F I R濾波器的實現(xiàn)兩個實驗，可以掌握 D S P硬件調(diào)試方法，增加對 D S P開發(fā)過程，以及
D S P基本 算 法 實現(xiàn) 的理 解。文 中所 設(shè)計 的 D S P最 小 系統(tǒng) 由 T I公 司 的定 點 D S P芯 片
T MS 3 2 0 V C 5 4 0 2及其相關(guān)電源和時鐘電路 、片外擴展存儲 器、A ／ D、D ／ A、標準 U A R T接 口構(gòu)成
Recent advances in experimental methods have resulted in the generation
of enormous volumes of data across the life sciences. Hence clustering and
classification techniques that were once predominantly the domain of ecologists
are now being used more widely. This book provides an overview of these
important data analysis methods, from long-established statistical methods
to more recent machine learning techniques. It aims to provide a framework
that will enable the reader to recognise the assumptions and constraints that
are implicit in all such techniques. Important generic issues are discussed first
and then the major families of algorithms are described. Throughout the focus
is on explanation and understanding and readers are directed to other resources
that provide additional mathematical rigour when it is required. Examples
taken from across the whole of biology, including bioinformatics, are provided
throughout the book to illustrate the key concepts and each technique’s
potential.
Many of the pattern fi nding algorithms such as decision tree, classifi cation rules and clustering
techniques that are frequently used in data mining have been developed in machine learning
research community. Frequent pattern and association rule mining is one of the few excep-
tions to this tradition. The introduction of this technique boosted data mining research and its
impact is tremendous. The algorithm is quite simple and easy to implement. Experimenting
with Apriori-like algorithm is the fi rst thing that data miners try to do.
