 | 2011 |
|---|
| 7 |       | Manabu Ichino:
The quantile method for symbolic principal component analysis.
Statistical Analysis and Data Mining 4(2): 184-198 (2011) |
| 2009 |
|---|
| 6 | | Atsushi Nagoya,
Yujiro Ono,
Manabu Ichino:
Detection of chain structures embedded in multidimensional symbolic data.
Pattern Recognition Letters 30(11): 951-959 (2009) |
| 2007 |
|---|
| 5 | | Bapu B. Kiranagi,
D. S. Guru,
Manabu Ichino:
Exploitation of Multivalued Type Proximity for Symbolic Feature Selection.
ICCTA 2007: 320-324 |
| 2000 |
|---|
| 4 | | Manabu Ichino,
Hiroyuki Yaguchi:
An apparent simplicity appearing in pattern classification problems.
Pattern Recognition 33(9): 1467-1474 (2000) |
| 1999 |
|---|
| 3 | | Hiroyuki Yaguchi,
Manabu Ichino:
The New Feature Selection Method Based on the Interclass Distinguishibility and the Generality of Class Description.
Electronic Notes in Discrete Mathematics 2: 188 (1999) |
| 1994 |
|---|
| 2 | | Manabu Ichino,
Hiroyuki Yaguchi:
Generalized Minkowski metrics for mixed feature-type data analysis.
IEEE Transactions on Systems, Man, and Cybernetics 24(4): 698-708 (1994) |
| 1985 |
|---|
| 1 | | Manabu Ichino,
Jack Sklansky:
The relative neighborhood graph for mixed feature variables.
Pattern Recognition 18(2): 161-167 (1985) |
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