Semi-supervised clustering tries to surpass the limits of unsupervised clustering using extra information contained in occasional labeled data points. However, providing such labeled samples is not always possible or easy ...

Initialization parameters of Self-organizing map networks (SOM) have a great influence in

their final result. This is the only known problem of SOM networks. The uncertainty of

solution is ...

Recently, a constrained Linear Discriminant Analysis (LDA) algorithm is introduced and

gained popularity. However, this algorithm is not applicable in the environment with large

amount of data points or when ...

The real challenge in pattern recognition tasks and machine learning processes is to train

a discriminator using labeled data and use it to distinguish between future data points as

accurate as ...

In this paper, we introduce an incremental version of recently proposed constrained Linear Discriminant Analysis (LDA). In addition of application in constrained LDA problems, our algorithm which we call ...

با توجه به روند رشد مدارات مجتمع، و افزایش روز افزون تعداد ترانزیستور های موجود در یک تراشه، میزان انرژی مصرفی در یک مدار، و به طبع آن، میزان گرمای تولیدی، رو به افزایش می باشد. افزایش دما، باعث بوجود آمدن مشکالت بسیاری ...