Feature Selection & Feature Extraction

patrecog

Sesuai dengan agenda saya, minggu ini rencananya saya membahas mengenai Feature Subset Selection & Feature Extraction di kelas Pattern Recognition SGU (S1, semester 4). Untuk pembahasan Kernel based Machine Learning saya skip. Pertimbangan saya, dengan keterbatasan waktu, cukup bagi anak-anak untuk memahami k-Nearest Neighbor Classifier, Multilayer Perceptron + backpropagation algorithm, serta Naive Bayes. Selanjutnya lebih baik difokuskan pada topik Feature Extraction dan Selection, karena topik ini sangat vital. Ada beberapa yang ingin saya bahas:

  • mengapa normalisasi nilai feature perlu dilakukan ?
  • teknik melakukan normalisasi nilai feature & perlakuan berbeda untuk feature nominal vs ratio
  • transformasi feature space : antara selection vs extraction
  • feature subset selection : wrapper vs filter approach, classifier independent vs classifier dependent
  • feature extraction : definisi dan contoh (misalnya dimensionality reduction pada Principal Component Analysis)

Beberapa literatur yang saya pakai:

  1.  Wakariyasui Pataan Ninshiki, Ishii et al. Ohmsha, 1998
  2. Handbook of Pattern Recognition & Image Processing, Tzay Y. Young & King Sun Fu,  Academic Press, 1986
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Tentang Anto Satriyo Nugroho

My name is Anto Satriyo Nugroho. I am working as research scientist at Center for Information & Communication Technology, Agency for the Assessment & Application of Technology (PTIK-BPPT : Pusat Teknologi Informasi & Komunikasi, Badan Pengkajian dan Penerapan Teknologi). I obtained my doctoral degree (Dr.Eng) from Nagoya Institute of Technology, Japan in 2003. My office is located in Serpong, Tangerang Selatan City. My research is on pattern recognition and image processing with applied field of interests on biometrics identification & development of computer aided diagnosis for Malaria. Should you want to know further information on my academic works, please visit my professional site at http://asnugroho.net
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