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Can I read A New Nearest-neighbor Rule in the Pattern Classification Problem on EtoBox?
A New Nearest-neighbor Rule in the Pattern Classification Problem by Kazuo Hattori; Masahito Takahashi is a Computer Science article available to read on EtoBox.
What is A New Nearest-neighbor Rule in the Pattern Classification Problem about?
A new nearest-neighbor (NN) rule is proposed. In this rule, the k-nearest neighbors of an input sample are obtained in each class. Two classification examples are presented to test the NN rule proposed. The number of samples misclassified N is evaluated. The minimum of N in the the NN rule proposed is found to be nearly equal to or less than those in the k-NN, distance-weighted k-NN and fuzzy k-NN rules. The NN rule proposed is shown to be very flexible. It will yield good classification results, if the parameters introduced in it are optimized.
Who reads A New Nearest-neighbor Rule in the Pattern Classification Problem?
It is typically read by researchers, students, and practitioners in Computer Science.
- Author
- Kazuo Hattori; Masahito Takahashi
- Publisher
- Elsevier Science; Elsevier ; Elsevier Ltd.; Elsevier BV (ISSN 0031-3203)
- Published
- 1999
- Language
- EN
- Field
- Computer Science (Physical Sciences)