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MCA is performed by applying the CA algorithm to either an indicator matrix (also called complete disjunctive table – CDT) or a Burt table formed from these variables. [citation needed] An indicator matrix is an individuals × variables matrix, where the rows represent individuals and the columns are dummy variables representing categories of the variables. [1]
The NIT MCA Common Entrance Test (NIMCET), is a National Level Test conducted by NITs for admission to their Master of Computer Applications (MCA) programme.The admission to the MCA programme to the nine NITs at Agartala, Allahabad, Bhopal, Jamshedpur, Kurukshetra, Raipur, Surathkal, Tiruchirappalli (Trichy), Warangal, Patna and IIIT Bhopal for the year 2024-25 is based on the Rank obtained in ...
MCA21 Mission Mode Project (MCA21) is the e-governance initiative from the Ministry of Corporate Affairs, Government of India. It is one of the 31Mision Mode Projects of the National e-Governance Plan.
The Microsoft Certified Application Specialist certification series were the certifications introduced for the Microsoft Office 2007 suite, allowing credential holders to demonstrate expertise in products such as Microsoft Word, Excel, PowerPoint. [8]
A multichannel analyzer (MCA) is an instrument used in laboratory and field applications to analyze an input signal consisting of voltage pulses. [1] MCAs are used extensively in digitizing various spectroscopy measurements, especially those related to nuclear physics , including various types of spectroscopy (alpha-, beta-, and gamma ...
The Minnesota Comprehensive Assessments—Series II (MCA–II) are the state tests measuring student progress for districts to meet the No Child Left Behind requirements. Mathematics are tested in grades 3–8 and 11. Reading is assessed in grades 3–8, writing in grade 9, and natural science is given in grades 5 and 8. [1]
www.mca.gov.in The Ministry of Corporate Affairs is an Indian government ministry primarily concerned with administration of the Companies Act 2013, the Companies Act 1956, the Limited Liability Partnership Act, 2008, and the Insolvency and Bankruptcy Code, 2016.
When data include both types of variables but the active variables being homogeneous, PCA or MCA can be used. Indeed, it is easy to include supplementary quantitative variables in MCA by the correlation coefficients between the variables and factors on individuals (a factor on individuals is the vector gathering the coordinates of individuals on a factorial axis); the representation obtained ...