Critical dimensions of entrepreneurship and entrepreneurial behaviour among mushroom growers: Investigation through Principal Component Analysis

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Principal component analysis for fermionic critical points

Natanael C. Costa,1,2,* Wenjian Hu,2,3 Z. J. Bai,3 Richard T. Scalettar,2 and Rajiv R. P. Singh2 1Instituto de Fisica, Universidade Federal do Rio de Janeiro Cx.P. 68.528, 21941-972 Rio de Janeiro RJ, Brazil 2Department of Physics, University of California Davis, California 95616, USA 3Department of Computer Science, University of California Davis, California 95616, USA (Received 22 August 2017...

متن کامل

Entrepreneurial Characteristics and Attitude of Pineapple Growers

Nagaland, the 16th state of India in order of statehood, is situated between 25° 6′ and 27° 4′ latitude north and between 93o 20′ E and 95o 15′ E longitude of equator in the North Eastern part of the India. Endowed with varied topography, soil and agro climatic conditions it is known for its potentiality to grow all most all kinds of horticultural crops. Pineapple being grown since long organic...

متن کامل

Compression of Breast Cancer Images By Principal Component Analysis

The principle of dimensionality reduction with PCA is the representation of the dataset ‘X’in terms of eigenvectors ei ∈ RN  of its covariance matrix. The eigenvectors oriented in the direction with the maximum variance of X in RN carry the most      relevant information of X. These eigenvectors are called principal components [8]. Ass...

متن کامل

Compression of Breast Cancer Images By Principal Component Analysis

The principle of dimensionality reduction with PCA is the representation of the dataset ‘X’in terms of eigenvectors ei ∈ RN  of its covariance matrix. The eigenvectors oriented in the direction with the maximum variance of X in RN carry the most      relevant information of X. These eigenvectors are called principal components [8]. Ass...

متن کامل

Principal Component Projection Without Principal Component Analysis

We show how to efficiently project a vector onto the top principal components of a matrix, without explicitly computing these components. Specifically, we introduce an iterative algorithm that provably computes the projection using few calls to any black-box routine for ridge regression. By avoiding explicit principal component analysis (PCA), our algorithm is the first with no runtime dependen...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Indian Journal Of Agricultural Research

سال: 2019

ISSN: 0976-058X,0367-8245

DOI: 10.18805/ijare.a-5261